2026
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Biedenkapp, André Contextual Intelligence: The Next Leap for Reinforcement Learning Proceedings Article Forthcoming In: Amato, C.; Dennis, L.; Mascardi, V.; Thangarajah, J. (Ed.): Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2026, Blue Sky Ideas Track., Forthcoming. @inproceedings{biedenkapp-aamas26a,
title = {Contextual Intelligence: The Next Leap for Reinforcement Learning},
author = {André Biedenkapp},
editor = {C. Amato and L. Dennis and V. Mascardi and J. Thangarajah },
year = {2026},
booktitle = {Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2026, Blue Sky Ideas Track.},
keywords = {}
}
|
Zehle, Tom; Heiß, Timo; Schlager, Moritz; Aßenmacher, Matthias; Feurer, Matthias promptolution: A Unified, Modular Framework for Prompt Optimization Proceedings Article In: Croce, Danilo; Leidner, Jochen; Moosavi, Nafise Sadat (Ed.): Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), pp. 282–296, Association for Computational Linguistics, Rabat, Marocco, 2026, ISBN: 979-8-89176-382-1. @inproceedings{zehle-etal-2026-promptolution,
title = {promptolution: A Unified, Modular Framework for Prompt Optimization},
author = {Tom Zehle and Timo Heiß and Moritz Schlager and Matthias Aßenmacher and Matthias Feurer},
editor = {Danilo Croce and Jochen Leidner and Nafise Sadat Moosavi},
year = {2026},
isbn = {979-8-89176-382-1},
booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)},
pages = {282–296},
publisher = {Association for Computational Linguistics},
address = {Rabat, Marocco},
keywords = {}
}
|
Zehle, Tom; Aßenmacher, Matthias Can Calibration of Positional Encodings Enhance Long Context Utilization? Proceedings Article In: Demberg, Vera; Inui, Kentaro; Marquez, Lluís (Ed.): Findings of the Association for Computational Linguistics: EACL 2026, pp. 2268–2280, Association for Computational Linguistics, Rabat, Morocco, 2026, ISBN: 979-8-89176-386-9. @inproceedings{zehle-assenmacher-2026-calibration,
title = {Can Calibration of Positional Encodings Enhance Long Context Utilization?},
author = {Tom Zehle and Matthias Aßenmacher},
editor = {Vera Demberg and Kentaro Inui and Lluís Marquez},
year = {2026},
isbn = {979-8-89176-386-9},
booktitle = {Findings of the Association for Computational Linguistics: EACL 2026},
pages = {2268–2280},
publisher = {Association for Computational Linguistics},
address = {Rabat, Morocco},
keywords = {}
}
|
Runge, Frederic Flexible RNA Design with Partial Constraints Book Chapter Forthcoming In: Forthcoming. @inbook{nokey,
title = {Flexible RNA Design with Partial Constraints},
author = {Frederic Runge},
year = {2026},
keywords = {}
}
|
2025
|
Eimer, Theresa; Schäpermeier, Lennart; Biedenkapp, André; Tornede, Alexander; Kotthoff, Lars; Leyman, Pieter; Feurer, Matthias; Eggensperger, Katharina; Maile, Kaitlin; Tornede, Tanja; Kozak, Anna; Xue, Ke; Wever, Marcel; Baratchi, Mitra; Pulatov, Damir; Trautmann, Heike; Kashgarani, Haniye; Lindauer, Marius Best Practices For Empirical Meta-Algorithmic Research Guidelines from the COSEAL Research Network Journal Article In: arXiv:2512.16491 [cs.AI], 2025. @article{eimer-arxiv25m,
title = {Best Practices For Empirical Meta-Algorithmic Research Guidelines from the COSEAL Research Network},
author = {Theresa Eimer and Lennart Schäpermeier and André Biedenkapp and Alexander Tornede and Lars Kotthoff and Pieter Leyman and Matthias Feurer and Katharina Eggensperger and Kaitlin Maile and Tanja Tornede and Anna Kozak and Ke Xue and Marcel Wever and Mitra Baratchi and Damir Pulatov and Heike Trautmann and Haniye Kashgarani and Marius Lindauer},
year = {2025},
journal = {arXiv:2512.16491 [cs.AI]},
keywords = {}
}
|
Pfefferle, Alexander; Hog, Johannes; Purucker, Lennart; Hutter, Frank nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN Workshop 2025. @workshop{pfefferle2025nanotabpfn,
title = {nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN},
author = {Alexander Pfefferle and Johannes Hog and Lennart Purucker and Frank Hutter},
year = {2025},
journal = {arXiv preprint arXiv:2511.03634},
keywords = {}
}
|
Nguyen, Tài; Le, Phong; Biedenkapp, André; Doerr, Carola; Dang, Nguyen Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+(λ,λ))-GA Journal Article In: arXiv:2512.03805 [cs.LG], 2025. @article{nguyen-arxiv25a,
title = {Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+(λ,λ))-GA},
author = {Tài Nguyen and Phong Le and André Biedenkapp and Carola Doerr and Nguyen Dang},
year = {2025},
journal = {arXiv:2512.03805 [cs.LG]},
keywords = {}
}
|
Erickson, Nick; Purucker, Lennart; Tschalzev, Andrej; Holzmüller, David; Desai, Prateek Mutalik; Salinas, David; Hutter, Frank TabArena: A Living Benchmark for Machine Learning on Tabular Data Proceedings Article Forthcoming In: NeurIPS 2025 Datasets and Benchmarks Track
, Forthcoming, (Spotlight). @inproceedings{Erickson2025,
title = {TabArena: A Living Benchmark for Machine Learning on Tabular Data},
author = {Nick Erickson and Lennart Purucker and Andrej Tschalzev and David Holzmüller and Prateek Mutalik Desai and David Salinas and Frank Hutter},
year = {2025},
booktitle = {NeurIPS 2025 Datasets and Benchmarks Track
},
keywords = {}
}
|
Siems, Julien; Carstensen, Timur; Zela, Arber; Hutter, Frank; Pontil, Massimiliano; Grazzi, Riccardo DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{Siems2025b,
title = {DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products},
author = {Julien Siems and Timur Carstensen and Arber Zela and Frank Hutter and Massimiliano Pontil and Riccardo Grazzi},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Franke, Jörg K. H.; Spiegelhalter, Urs; Nezhurina, Marianna; Jitsev, Jenia; Hutter, Frank; Hefenbrock, Michael Learning in Compact Spaces with Approximately Normalized Transformer Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{Franke2025,
title = {Learning in Compact Spaces with Approximately Normalized Transformer},
author = {Jörg K.H. Franke and Urs Spiegelhalter and Marianna Nezhurina and Jenia Jitsev and Frank Hutter and Michael Hefenbrock},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Arbel, Michael; Salinas, David; Hutter, Frank EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{Arbel2025,
title = {EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network},
author = {Michael Arbel and David Salinas and Frank Hutter},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Robertson, Jake; Reuter, Arik; Guo, Siyuan; Hollmann, Noah; Hutter, Frank; Schölkopf, Bernhard Do-PFN: In-Context Learning for Causal Effect Estimation Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming, (Spotlight). @inproceedings{Robertson2025b,
title = {Do-PFN: In-Context Learning for Causal Effect Estimation},
author = {Jake Robertson and Arik Reuter and Siyuan Guo and Noah Hollmann and Frank Hutter and Bernhard Schölkopf},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Das, Indrashis; Safari, Mahmoud; Adriaensen, Steven; Hutter, Frank Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{Das2025b,
title = {Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics},
author = {Indrashis Das and Mahmoud Safari and Steven Adriaensen and Frank Hutter},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Spiegelhalter, Urs; Franke, Jörg K. H.; Hutter, Frank Balancing Synthetic Data and Replay for Enhancing Task-Specific Capabilities Proceedings Article Forthcoming In: NeurIPS 2025 Workshop on Continual and Compatible Foundation Model Updates, Forthcoming. @inproceedings{Spiegelhalter25,
title = {Balancing Synthetic Data and Replay for Enhancing Task-Specific Capabilities},
author = {Urs Spiegelhalter and Jörg K.H. Franke and Frank Hutter},
year = {2025},
booktitle = {NeurIPS 2025 Workshop on Continual and Compatible Foundation Model Updates},
keywords = {}
}
|
Abed, Amal; Lukic, Ivan; Franke, Jörg K. H.; Hutter, Frank Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks Proceedings Article Forthcoming In: NeurIPS 2025 Fourth Workshop on Deep Learning for Code, Forthcoming. @inproceedings{Abed25,
title = {Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks},
author = {Amal Abed and Ivan Lukic and Jörg K.H. Franke and Frank Hutter},
year = {2025},
booktitle = {NeurIPS 2025 Fourth Workshop on Deep Learning for Code},
keywords = {}
}
|
Otte, David; Franke, Jörg K. H.; Hutter, Frank Towards Scaling Laws for Symbolic Regression Proceedings Article Forthcoming In: The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025, Forthcoming. @inproceedings{Otte25,
title = {Towards Scaling Laws for Symbolic Regression},
author = {David Otte and Jörg K.H. Franke and Frank Hutter},
year = {2025},
booktitle = {The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025},
keywords = {}
}
|
Jehle, Dominik; Purucker, Lennart; Hutter, Frank Agentic NL2SQL to Reduce Computational Costs Proceedings Article Forthcoming In: NeurIPS 2025 Workshop on Efficient Reasoning, Forthcoming. @inproceedings{Jehle25,
title = {Agentic NL2SQL to Reduce Computational Costs},
author = {Dominik Jehle and Lennart Purucker and Frank Hutter},
year = {2025},
booktitle = {NeurIPS 2025 Workshop on Efficient Reasoning},
keywords = {}
}
|
Grinsztajn, Leo; Flöge, Klemens; Key, Oscar; Hayler, Adrian; Manium, Mihir; Garg, Anurag; Robertson, Jake; Hoo, Shi Bin; Birkel, Felix; Jund, Philipp; Jäger, Benjamin; Yu, Rosen Ting-Ying; Schölkopf, Bernhard; Hollmann, Noah; Hutter, Frank TabPFN-2.5: a Preview Proceedings Article Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. @inproceedings{Grinsztajn25,
title = {TabPFN-2.5: a Preview},
author = {Leo Grinsztajn and Klemens Flöge and Oscar Key and Adrian Hayler and Mihir Manium and Anurag Garg and Jake Robertson and Shi Bin Hoo and Felix Birkel and Philipp Jund and Benjamin Jäger and Rosen Ting-Ying Yu and Bernhard Schölkopf and Noah Hollmann and Frank Hutter},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Bühler, Magnus; Purucker, Lennart; Hutter, Frank Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models Proceedings Article In: EurIPS 2025 Workshop: AI for Tabular Data, 2025. @inproceedings{Bühler25,
title = {Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models},
author = {Magnus Bühler and Lennart Purucker and Frank Hutter},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Ma, Junwei; Shaheen, Nour; Labach, Alex; Mhedhbi, Amine; Hutter, Frank; Caterini, Anthony L.; Thomas, Valentin Generalization Can Emerge in Tabular Foundation Models From a Single Table Proceedings Article Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. @inproceedings{Ma25,
title = {Generalization Can Emerge in Tabular Foundation Models From a Single Table},
author = {Junwei Ma and Nour Shaheen and Alex Labach and Amine Mhedhbi and Frank Hutter and Anthony L. Caterini and Valentin Thomas},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Swelam, Omar; Purucker, Lennart; Robertson, Jake; Raum, Hanne; Boedecker, Joschka; Hutter, Frank Does TabPFN Understand Causal Structures? Proceedings Article Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. @inproceedings{Swelam25,
title = {Does TabPFN Understand Causal Structures?},
author = {Omar Swelam and Lennart Purucker and Jake Robertson and Hanne Raum and Joschka Boedecker and Frank Hutter},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Moroshan, Vladyslav; Siems, Julien; Zela, Arber; Carstensen, Timur; Hutter, Frank TempoPFN: Towards Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting Proceedings Article Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. @inproceedings{Moroshan25,
title = {TempoPFN: Towards Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting},
author = {Vladyslav Moroshan and Julien Siems and Arber Zela and Timur Carstensen and Frank Hutter},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Lee, Dong Bok; Zhang, Aoxuan Silvia; Kim, Byungjoo; Park, Junhyeon; Adriaensen, Steven; Lee, Juho; Hwang, Sung Ju; Lee, Hae Beom Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning Proceedings Article Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. @inproceedings{lee2025cost,
title = {Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning},
author = {Dong Bok Lee and Aoxuan Silvia Zhang and Byungjoo Kim and Junhyeon Park and Steven Adriaensen and Juho Lee and Sung Ju Hwang and Hae Beom Lee},
year = {2025},
booktitle = {39th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Otte, David; Franke, Jörg K. H.; Hutter, Frank Towards Scaling Laws for Symbolic Regression Proceedings Article In: EurIPS 2025 Workshop: AI for Tabular Data, 2025. @inproceedings{Otte25b,
title = {Towards Scaling Laws for Symbolic Regression},
author = {David Otte and Jörg K.H. Franke and Frank Hutter},
year = {2025},
booktitle = {EurIPS 2025 Workshop: AI for Tabular Data},
keywords = {}
}
|
Jehle, Dominik; Purucker, Lennart; Hutter, Frank Agentic NL2SQL to Reduce Computational Costs Proceedings Article In: NeurIPS 2025 Workshop on Efficient Reasoning, 2025. @inproceedings{Jehle2025,
title = {Agentic NL2SQL to Reduce Computational Costs},
author = {Dominik Jehle and Lennart Purucker and Frank Hutter
},
year = {2025},
booktitle = {NeurIPS 2025 Workshop on Efficient Reasoning},
keywords = {}
}
|
Prasanna, Sai; Biedenkapp, André; Rajan, Raghu One Does Not Simply Estimate State: Comparing Model-based and Model-free Reinforcement Learning on the Partially Observable MordorHike Benchmark Proceedings Article In: Eighteenth European Workshop on Reinforcement Learning, 2025. @inproceedings{prasanna-ewrl25a,
title = {One Does Not Simply Estimate State: Comparing Model-based and Model-free Reinforcement Learning on the Partially Observable MordorHike Benchmark},
author = {Sai Prasanna and André Biedenkapp and Raghu Rajan},
year = {2025},
booktitle = {Eighteenth European Workshop on Reinforcement Learning},
keywords = {}
}
|
Mohan, Aditya; Eimer, Theresa; Benjamins, Carolin; Lindauer, Marius; Biedenkapp, André Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL Proceedings Article In: Eighteenth European Workshop on Reinforcement Learning, 2025. @inproceedings{mohan-ewrl25a,
title = {Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL},
author = {Aditya Mohan and Theresa Eimer and Carolin Benjamins and Marius Lindauer and André Biedenkapp},
year = {2025},
booktitle = {Eighteenth European Workshop on Reinforcement Learning},
keywords = {}
}
|
Das, Breenda; Purucker, Lennart; Carstensen, Timur; Hutter, Frank Quickly Tuning Foundation Models for Image Segmentation Proceedings Article In: Non-Archival Content Track at AutoML, 2025. @inproceedings{Das2025,
title = {Quickly Tuning Foundation Models for Image Segmentation},
author = {Breenda Das and Lennart Purucker and Timur Carstensen and Frank Hutter
},
year = {2025},
booktitle = {Non-Archival Content Track at AutoML},
keywords = {}
}
|
Athanasiadis, Theodoros; Adriaensen, Steven; Müller, Samuel; Hutter, Frank Tune My Adam, Please! Proceedings Article In: Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML), Non-Archival Track, 2025. @inproceedings{athanasiadis2025tune,
title = {Tune My Adam, Please!},
author = {Theodoros Athanasiadis and Steven Adriaensen and Samuel Müller and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML), Non-Archival Track},
keywords = {}
}
|
Schäfer, Bastian; Purucker, Lennart; Janowski, Maciej; Hutter, Frank How Usable is Automated Feature Engineering for Tabular Data? Proceedings Article In: Non-Archival Content Track at AutoML, 2025. @inproceedings{Schäfer2025,
title = {How Usable is Automated Feature Engineering for Tabular Data?},
author = {Bastian Schäfer and Lennart Purucker and Maciej Janowski and Frank Hutter},
year = {2025},
booktitle = {Non-Archival Content Track at AutoML},
keywords = {}
}
|
Al-zeqri, Mohsen; Franke, Jörg; Runge, Frederic STRAND: Structure Refinement of RNA-Protein Complexes via Diffusion Proceedings Article In: The 2nd workshop on Generative AI and Biology at ICML, 2025. @inproceedings{nokey,
title = {STRAND: Structure Refinement of RNA-Protein Complexes via Diffusion},
author = {Mohsen Al-zeqri and Jörg Franke and Frederic Runge},
year = {2025},
booktitle = {The 2nd workshop on Generative AI and Biology at ICML},
keywords = {}
}
|
Nguyen, Tài; Le, Phong; Biedenkapp, André; Doerr, Carola; Dang, Nguyen On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA Proceedings Article In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'25), 2025, (Won the best paper award in the L4EC track). @inproceedings{nguyen-gecco25a,
title = {On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA},
author = {Tài Nguyen and Phong Le and André Biedenkapp and Carola Doerr and Nguyen Dang},
year = {2025},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'25)},
journal = {arXiv:2502.20265 [cs.LG]},
keywords = {}
}
|
Bischl, Bernd; Casalicchio, Giuseppe; Das, Taniya; Feurer, Matthias; Fischer, Sebastian; Gijsbers, Pieter; Mukherjee, Subhaditya; Müller, Andreas C; Németh, László; Oala, Luis; Purucker, Lennart; Ravi, Sahithya; van Rijn, Jan N; Singh, Prabhant; Vanschoren, Joaquin; van der Velde, Jos; Wever, Marcel OpenML: Insights from 10 years and more than a thousand papers Proceedings Article In: Patterns, Elsevier, 2025. @inproceedings{Bischl2025,
title = {OpenML: Insights from 10 years and more than a thousand papers},
author = {Bernd Bischl and Giuseppe Casalicchio and Taniya Das and Matthias Feurer and Sebastian Fischer and Pieter Gijsbers and Subhaditya Mukherjee and Andreas C Müller and László Németh and Luis Oala and Lennart Purucker and Sahithya Ravi and Jan N van Rijn and Prabhant Singh and Joaquin Vanschoren and Jos van der Velde and Marcel Wever},
doi = {10.1016/j.patter.2025.101317},
year = {2025},
booktitle = {Patterns},
publisher = {Elsevier},
keywords = {}
}
|
Feuer, Benjamin; Purucker, Lennart; Elachqar, Oussama; Hegde, Chinmay MARVIS: Modality Adaptive Reasoning over VISualizations Proceedings Article In: Preprint, 2025. @inproceedings{Feuer2025,
title = {MARVIS: Modality Adaptive Reasoning over VISualizations},
author = {Benjamin Feuer and Lennart Purucker and Oussama Elachqar and Chinmay Hegde
},
year = {2025},
booktitle = {Preprint},
keywords = {}
}
|
Lee, Dongwoo; Lee, Dong Bok; Adriaensen, Steven; Lee, Juho; Hwang, Sung Ju; Hutter, Frank; Kim, Seon Joo; Lee, Hae Beom Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks Proceedings Article In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. @inproceedings{nokey,
title = {Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks},
author = {Dongwoo Lee and Dong Bok Lee and Steven Adriaensen and Juho Lee and Sung Ju Hwang and Frank Hutter and Seon Joo Kim and Hae Beom Lee},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Robertson, Jake; Hollmann, Noah; Müller, Samuel Gabriel; Awad, Noor; Hutter, Frank FairPFN: A Tabular Foundation Model for Causal Fairness Proceedings Article In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. @inproceedings{Robertson2025,
title = {FairPFN: A Tabular Foundation Model for Causal Fairness},
author = {Jake Robertson and Noah Hollmann and Samuel Gabriel Müller and Noor Awad and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Salinas, David; Swelam, Omar; Hutter, Frank Tuning LLM Judge Design Decisions for 1/1000 of the Cost Proceedings Article In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. @inproceedings{Salinas2025,
title = {Tuning LLM Judge Design Decisions for 1/1000 of the Cost},
author = {David Salinas and Omar Swelam and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Müller, Samuel Gabriel; Reuter, Arik; Hollmann, Noah; Rügamer, David; Hutter, Frank Position: The Future of Bayesian Prediction Is Prior-Fitted Proceedings Article In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. @inproceedings{Müller2025,
title = {Position: The Future of Bayesian Prediction Is Prior-Fitted},
author = {Samuel Gabriel Müller and Arik Reuter and Noah Hollmann and David Rügamer and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Robertson, Jake; Reuter, Arik; Guo, Siyuan; Hollmann, Noah; Hutter, Frank; Schölkopf, Bernhard Do-PFN: In-Context Learning for Causal Effect Estimation Proceedings Article In: Foundation Models for Structured Data workshop at ICML, 2025. @inproceedings{nokey,
title = {Do-PFN: In-Context Learning for Causal Effect Estimation},
author = {Jake Robertson and Arik Reuter and Siyuan Guo and Noah Hollmann and Frank Hutter and Bernhard Schölkopf},
year = {2025},
booktitle = {Foundation Models for Structured Data workshop at ICML},
keywords = {}
}
|
Bühler, Magnus; Purucker, Lennart; Hutter, Frank Towards Synthetic Data for Fine-tuning Tabular Foundation Models Proceedings Article In: Foundation Models for Structured Data workshop at ICML, 2025. @inproceedings{Bühler2025,
title = {Towards Synthetic Data for Fine-tuning Tabular Foundation Models},
author = {Magnus Bühler and Lennart Purucker and Frank Hutter},
year = {2025},
booktitle = {Foundation Models for Structured Data workshop at ICML},
keywords = {}
}
|
Mráz, Martin; Das, Breenda; Gupta, Anshul; Purucker, Lennart; Hutter, Frank Towards Benchmarking Foundation Models for Tabular Data With Text Proceedings Article In: Foundation Models for Structured Data workshop at ICML, 2025. @inproceedings{Mráz2025,
title = {Towards Benchmarking Foundation Models for Tabular Data With Text},
author = {Martin Mráz and Breenda Das and Anshul Gupta and Lennart Purucker and Frank Hutter},
year = {2025},
booktitle = {Foundation Models for Structured Data workshop at ICML},
keywords = {}
}
|
Küken, Jaris; Purucker, Lennart; Hutter, Frank Early Stopping Tabular In-Context Learning Proceedings Article In: Foundation Models for Structured Data workshop at ICML, 2025. @inproceedings{Küken2025,
title = {Early Stopping Tabular In-Context Learning},
author = {Jaris Küken and Lennart Purucker and Frank Hutter},
year = {2025},
booktitle = {Foundation Models for Structured Data workshop at ICML},
keywords = {}
}
|
Garg, Anurag; Ali, Muhammad; Hollmann, Noah; Purucker, Lennart; Müller, Samuel; Hutter, Frank Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Proceedings Article In: Foundation Models for Structured Data workshop at ICML, 2025. @inproceedings{Garg2025,
title = {Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data},
author = {Anurag Garg and Muhammad Ali and Noah Hollmann and Lennart Purucker and Samuel Müller and Frank Hutter},
year = {2025},
booktitle = {Foundation Models for Structured Data workshop at ICML},
keywords = {}
}
|
Arango, Sebastian Pineda; Janowski, Maciej; Purucker, Lennart; Zela, Arber; Hutter, Frank; Grabocka, Josif Regularized Neural Ensemblers Proceedings Article In: AutoML Conference 2025, 2025. @inproceedings{Arango2025,
title = {Regularized Neural Ensemblers},
author = {Sebastian Pineda Arango and Maciej Janowski and Lennart Purucker and Arber Zela and Frank Hutter and Josif Grabocka},
year = {2025},
booktitle = {AutoML Conference 2025},
journal = {Preprint arXiv},
keywords = {}
}
|
Heinzel, Carola Sophia; Purucker, Lennart; Hutter, Frank; Pfaffelhuber, Peter Advancing biogeographical ancestry predictions through machine learning Proceedings Article In: Forensic Science International: Genetics, Elsevier, 2025. @inproceedings{Heinzel2025,
title = {Advancing biogeographical ancestry predictions through machine learning},
author = {Carola Sophia Heinzel and Lennart Purucker and Frank Hutter and Peter Pfaffelhuber},
doi = {10.1016/j.fsigen.2025.103290},
year = {2025},
booktitle = {Forensic Science International: Genetics},
publisher = {Elsevier},
keywords = {}
}
|
Carstensen, Timur; Mallik, Neeratyoy; Hutter, Frank; Rapp, Martin Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Proceedings Article In: Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML 2025), Main Track, 2025. @inproceedings{carstensen_automl25,
title = {Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization},
author = {Timur Carstensen and Neeratyoy Mallik and Frank Hutter and Martin Rapp},
year = {2025},
booktitle = {Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML 2025), Main Track},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Franke, Jörg; Zela, Arber; Hutter, Frank; Pontil, Massimiliano Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Proceedings Article In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025, (Oral). @inproceedings{Grazzi2025,
title = {Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues},
author = {Riccardo Grazzi and Julien Siems and Jörg Franke and Arber Zela and Frank Hutter and Massimiliano Pontil},
year = {2025},
booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Tschalzev, Andrej; Purucker, Lennart; Lüdtke, Stefan; Hutter, Frank; Bartelt, Christian; Stuckenschmidt, Heiner Unreflected Use of Tabular Data Repositories Can Undermine Research Quality Proceedings Article In: The Future of Machine Learning Data Practices and Repositories at ICLR, 2025, (Workshop Spotlight). @inproceedings{Tschalzev2025,
title = {Unreflected Use of Tabular Data Repositories Can Undermine Research Quality},
author = {Andrej Tschalzev and Lennart Purucker and Stefan Lüdtke and Frank Hutter and Christian Bartelt and Heiner Stuckenschmidt},
year = {2025},
booktitle = {The Future of Machine Learning Data Practices and Repositories at ICLR},
keywords = {}
}
|
Scheuer, Dominik; Runge, Frederic; Franke, Jörg K. H.; Wolfinger, Michael T.; Flamm, Christoph; Hutter, Frank KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks Proceedings Article In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025. @inproceedings{Scheuer*2024,
title = {KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks},
author = {Dominik Scheuer and Frederic Runge and Jörg K.H. Franke and Michael T. Wolfinger and Christoph Flamm and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Krack, Pierre; Walter, Florian; Grabocka, Josif Efficient Cross-Episode Meta-RL Proceedings Article In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR'25), 2025. @inproceedings{shala-iclr25a,
title = {Efficient Cross-Episode Meta-RL},
author = {Gresa Shala and André Biedenkapp and Pierre Krack and Florian Walter and Josif Grabocka},
year = {2025},
booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR'25)},
keywords = {}
}
|
Soro, Bedionita; Andreis, Bruno; Lee, Hayeon; Jeong, Wonyong; Chong, Song; Hutter, Frank; Hwang, Sung Ju Diffusion-based Neural Network Weights Generation Proceedings Article In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025. @inproceedings{nokey,
title = {Diffusion-based Neural Network Weights Generation},
author = {Bedionita Soro and Bruno Andreis and Hayeon Lee and Wonyong Jeong and Song Chong and Frank Hutter and Sung Ju Hwang},
year = {2025},
booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Zela, Arber; Staffler, Benedikt; Dooley, Samuel; Grabocka, Josif; Hutter, Frank Multi-objective Differentiable Neural Architecture Search Proceedings In: Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025., 2025. @proceedings{,
title = {Multi-objective Differentiable Neural Architecture Search},
author = {Rhea Sanjay Sukthanker and Arber Zela and Benedikt Staffler and Samuel Dooley and Josif Grabocka and Frank Hutter},
year = {2025},
keywords = {}
}
|
Siems, Julien; Carstensen, Timur; Zela, Arber; Hutter, Frank; Pontil, Massimiliano; Grazzi, Riccardo DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Proceedings Article In: Foundation Models in the Wild at ICLR, 2025, (Oral). @inproceedings{Siems2025,
title = {DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products},
author = {Julien Siems and Timur Carstensen and Arber Zela and Frank Hutter and Massimiliano Pontil and Riccardo Grazzi},
year = {2025},
booktitle = {Foundation Models in the Wild at ICLR},
keywords = {}
}
|
Scheuer, Dominik; Runge, Frederic; Franke, Jörg; Wolfinger, Michael T.; Flamm, Christoph; Hutter, Frank Bayesian Approximation of RNA Folding Times Proceedings Article In: Workshop on AI for Nucleic Acids at ICLR, 2025. @inproceedings{Scheuer2025,
title = {Bayesian Approximation of RNA Folding Times},
author = {Dominik Scheuer and Frederic Runge and Jörg Franke and Michael T. Wolfinger and Christoph Flamm and Frank Hutter},
year = {2025},
booktitle = {Workshop on AI for Nucleic Acids at ICLR},
keywords = {}
}
|
Viering, Tom Julian; Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hvarfner, Carl; Bakshy, Eytan; Hutter, Frank $alpha$-PFN: In-Context Learning Entropy Search Proceedings Article In: The Frontiers in Probabilistic Inference: Sampling meets Learning (FPI) at ICLR, 2025. @inproceedings{Viering2025,
title = {$alpha$-PFN: In-Context Learning Entropy Search},
author = {Tom Julian Viering and Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Carl Hvarfner and Eytan Bakshy and Frank Hutter},
year = {2025},
booktitle = {The Frontiers in Probabilistic Inference: Sampling meets Learning (FPI) at ICLR},
keywords = {}
}
|
Fernandes, Rean; Biedenkapp, André; Hutter, Frank; Awad, Noor A Llama walks into the ’Bar’: Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam Journal Article In: arXiv:2504.04945 [cs.LG], 2025. @article{fernandes-arxiv25a,
title = {A Llama walks into the ’Bar’: Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam},
author = {Rean Fernandes and André Biedenkapp and Frank Hutter and Noor Awad},
year = {2025},
journal = {arXiv:2504.04945 [cs.LG]},
keywords = {}
}
|
Zehle, Tom; Schlager, Moritz; Heiß, Timo; Feurer, Matthias CAPO: Cost-Aware Prompt Optimization Proceedings Article In: AutoML 2025 Methods Track, 2025. @inproceedings{Zehle_CAPO_Cost-Aware_Prompt_2025,
title = {CAPO: Cost-Aware Prompt Optimization},
author = {Tom Zehle and Moritz Schlager and Timo Heiß and Matthias Feurer},
year = {2025},
booktitle = {AutoML 2025 Methods Track},
keywords = {}
}
|
Hog, Johannes; Rajan, Raghu; Biedenkapp, André; Awad, Noor; Hutter, Frank; Nguyen, Vu Meta-learning Population-based Methods for Reinforcement Learning Journal Article In: Transactions on Machine Learning Research, 2025, ISBN: 2835-8856. @article{hog-tmlr25a,
title = {Meta-learning Population-based Methods for Reinforcement Learning},
author = {Johannes Hog and Raghu Rajan and André Biedenkapp and Noor Awad and Frank Hutter and Vu Nguyen},
editor = {Mirco Mutti},
year = {2025},
isbn = {2835-8856},
journal = {Transactions on Machine Learning Research},
keywords = {}
}
|
Ferreira, Fabio; Rapant, Ivo; Franke, Jörg K. H.; Hutter, Frank Beyond Random Augmentations: Pretraining with Hard Views Conference Proceedings of the Thirteenth International Conference on Learning Representations (ICLR), 2025. @conference{ferreira-iclr25a,
title = {Beyond Random Augmentations: Pretraining with Hard Views},
author = {Fabio Ferreira and Ivo Rapant and Jörg K. H. Franke and Frank Hutter},
year = {2025},
booktitle = {Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Purucker, Lennart; Krishnakumar, Arjun; Körfer, Max; Hoo, Shi Bin; Schirrmeister, Robin Tibor; Hutter, Frank Accurate predictions on small data with a tabular foundation model Journal Article In: Nature, vol. 637, iss. 8045, pp. 319–326, 2025, (Nature). @article{Hollmann2025,
title = {Accurate predictions on small data with a tabular foundation model},
author = {Noah Hollmann and Samuel Müller and Lennart Purucker and Arjun Krishnakumar and Max Körfer and Shi Bin Hoo and Robin Tibor Schirrmeister and Frank Hutter },
year = {2025},
journal = {Nature},
volume = {637},
pages = {319–326},
keywords = {}
}
|
Pfefferle, Alexander; Purucker, Lennart; Hutter, Frank DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation Proceedings Article In: Ma, Jun; Zhou, Yuyin; Wang, Bo (Ed.): Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, pp. 15–38, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-81854-7. @inproceedings{pfefferle2025daft,
title = {DAFT: Data-Aware Fine-Tuning of Foundation Models for Efficient and Effective Medical Image Segmentation},
author = {Alexander Pfefferle and Lennart Purucker and Frank Hutter},
editor = {Jun Ma and Yuyin Zhou and Bo Wang},
doi = {10.1007/978-3-031-81854-7_2},
year = {2025},
isbn = {978-3-031-81854-7},
booktitle = {Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop},
pages = {15--38},
publisher = {Springer Nature Switzerland},
address = {Cham},
keywords = {}
}
|
Ndir, Tidiane Camaret; Pfefferle, Alexander; Schirrmeister, Robin Tibor Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Proceedings Article In: Submitted to CVPR 2025: Foundation Models for 3D Biomedical Image Segmentation, 2025, (under review). @inproceedings{ndir2025dynamic,
title = {Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation},
author = {Tidiane Camaret Ndir and Alexander Pfefferle and Robin Tibor Schirrmeister},
year = {2025},
booktitle = {Submitted to CVPR 2025: Foundation Models for 3D Biomedical Image Segmentation},
keywords = {}
}
|
Basu, Soham; Stoll, Danny Multi-objective Hyperparameter Optimization in the Age of Deep Learning Proceedings Article In: Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML 2025), Non-Archival Content Track, 2025. @inproceedings{basu2025multi,
title = {Multi-objective Hyperparameter Optimization in the Age of Deep Learning},
author = {Soham Basu and Danny Stoll},
year = {2025},
booktitle = {Proceedings of the Fourth International Conference on Automated Machine Learning (AutoML 2025), Non-Archival Content Track},
keywords = {}
}
|
2024
|
Ma, Jun; Li, Feifei; Kim, Sumin; Asakereh, Reza; Le, Bao-Hiep; Nguyen-Vu, Dang-Khoa; Pfefferle, Alexander; Wei, Muxin; Gao, Ruochen; Lyu, Donghang; Yang, Songxiao; Purucker, Lennart; Marinov, Zdravko; Staring, Marius; Lu, Haisheng; Dao, Thuy Thanh; Ye, Xincheng; Li, Zhi; Brugnara, Gianluca; Vollmuth, Philipp; Foltyn-Dumitru, Martha; Cho, Jaeyoung; Mahmutoglu, Mustafa Ahmed; Bendszus, Martin; Pflüger, Irada; Rastogi, Aditya; Ni, Dong; Yang, Xin; Zhou, Guang-Quan; Wang, Kaini; Heller, Nicholas; Papanikolopoulos, Nikolaos; Weight, Christopher; Tong, Yubing; Udupa, Jayaram K; Patrick, Cahill J.; Wang, Yaqi; Zhang, Yifan; Contijoch, Francisco; McVeigh, Elliot; Ye, Xin; He, Shucheng; Haase, Robert; Pinetz, Thomas; Radbruch, Alexander; Krause, Inga; Kobler, Erich; He, Jian; Tang, Yucheng; Yang, Haichun; Huo, Yuankai; Luo, Gongning; Kushibar, Kaisar; Amankulov, Jandos; Toleshbayev, Dias; Mukhamejan, Amangeldi; Egger, Jan; Pepe, Antonio; Gsaxner, Christina; Luijten, Gijs; Fujita, Shohei; Kikuchi, Tomohiro; Wiestler, Benedikt; Kirschke, Jan S.; Rosa, Ezequiel; Bolelli, Federico; Lumetti, Luca; Grana, Costantino; Xie, Kunpeng; Wu, Guomin; Puladi, Behrus; Martín-Isla, Carlos; Lekadir, Karim; Campello, Victor M.; Shao, Wei; Brisbane, Wayne; Jiang, Hongxu; Wei, Hao; Yuan, Wu; Li, Shuangle; Zhou, Yuyin; Wang, Bo Efficient MedSAMs: Segment Anything in Medical Images on Laptop Proceedings 2024. @proceedings{ma2024efficientmedsamssegmentmedical,
title = {Efficient MedSAMs: Segment Anything in Medical Images on Laptop},
author = {Jun Ma and Feifei Li and Sumin Kim and Reza Asakereh and Bao-Hiep Le and Dang-Khoa Nguyen-Vu and Alexander Pfefferle and Muxin Wei and Ruochen Gao and Donghang Lyu and Songxiao Yang and Lennart Purucker and Zdravko Marinov and Marius Staring and Haisheng Lu and Thuy Thanh Dao and Xincheng Ye and Zhi Li and Gianluca Brugnara and Philipp Vollmuth and Martha Foltyn-Dumitru and Jaeyoung Cho and Mustafa Ahmed Mahmutoglu and Martin Bendszus and Irada Pflüger and Aditya Rastogi and Dong Ni and Xin Yang and Guang-Quan Zhou and Kaini Wang and Nicholas Heller and Nikolaos Papanikolopoulos and Christopher Weight and Yubing Tong and Jayaram K Udupa and Cahill J. Patrick and Yaqi Wang and Yifan Zhang and Francisco Contijoch and Elliot McVeigh and Xin Ye and Shucheng He and Robert Haase and Thomas Pinetz and Alexander Radbruch and Inga Krause and Erich Kobler and Jian He and Yucheng Tang and Haichun Yang and Yuankai Huo and Gongning Luo and Kaisar Kushibar and Jandos Amankulov and Dias Toleshbayev and Amangeldi Mukhamejan and Jan Egger and Antonio Pepe and Christina Gsaxner and Gijs Luijten and Shohei Fujita and Tomohiro Kikuchi and Benedikt Wiestler and Jan S. Kirschke and Ezequiel Rosa and Federico Bolelli and Luca Lumetti and Costantino Grana and Kunpeng Xie and Guomin Wu and Behrus Puladi and Carlos Martín-Isla and Karim Lekadir and Victor M. Campello and Wei Shao and Wayne Brisbane and Hongxu Jiang and Hao Wei and Wu Yuan and Shuangle Li and Yuyin Zhou and Bo Wang},
year = {2024},
keywords = {}
}
|
Ferreira, Fabio; Schlageter, Moreno; Rajan, Raghu; Biedenkapp, André; Hutter, Frank One-shot World Models Using a Transformer Trained on a Synthetic Prior Proceedings Article In: NeurIPS 2024 Workshop on Open-World Agents, 2024. @inproceedings{ferreira-arxiv24a,
title = {One-shot World Models Using a Transformer Trained on a Synthetic Prior},
author = {Fabio Ferreira and Moreno Schlageter and Raghu Rajan and André Biedenkapp and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Open-World Agents},
journal = {arXiv:2409.14084 [cs.LG]},
keywords = {}
}
|
Küken, Jaris; Purucker, Lennart; Hutter, Frank Large Language Models Engineer Too Many Simple Features for Tabular Data Proceedings Article In: NeurIPS 2024 Third Table Representation Learning Workshop, 2024, (Workshop Oral). @inproceedings{Küken2024,
title = {Large Language Models Engineer Too Many Simple Features for Tabular Data},
author = {Jaris Küken and Lennart Purucker and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 Third Table Representation Learning Workshop},
keywords = {}
}
|
Arango, Sebastian Pineda; Janowski, Maciej; Purucker, Lennart; Zela, Arber; Hutter, Frank; Grabocka, Josif Ensembling Finetuned Language Models for Text Classification Proceedings Article In: NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability, 2024. @inproceedings{Arango2024c,
title = {Ensembling Finetuned Language Models for Text Classification},
author = {Sebastian Pineda Arango and Maciej Janowski and Lennart Purucker and Arber Zela and Frank Hutter and Josif Grabocka},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability},
keywords = {}
}
|
Mallik, Neeratyoy; Janowski, Maciej; Hog, Johannes; Rakotoarison, Herilalaina; Klein, Aaron; Grabocka, Josif; Hutter, Frank Warmstarting for Scaling Language Models Proceedings Article In: NeurIPS 2024 Workshop Adaptive Foundation Models, 2024. @inproceedings{Mallik2024,
title = {Warmstarting for Scaling Language Models},
author = {Neeratyoy Mallik and Maciej Janowski and Johannes Hog and Herilalaina Rakotoarison and Aaron Klein and Josif Grabocka and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 Workshop Adaptive Foundation Models},
keywords = {}
}
|
Bhethanabhotla, Sathya Kamesh; Swelam, Omar; Siems, Julien; Salinas, David; Hutter, Frank Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models Proceedings Article In: NeurIPS 2024 TSALM Workshop, 2024, (Spotlight Presentation). @inproceedings{Bhethanabhotla2024,
title = {Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models},
author = {Sathya Kamesh Bhethanabhotla and Omar Swelam and Julien Siems and David Salinas and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 TSALM Workshop},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Staffler, Benedikt; Hutter, Frank; Klein, Aaron Large Language Model Compression with Neural Architecture Search Proceedings Article In: NeurIPS 2024 Workshop on Machine Learning and Compression, 2024. @inproceedings{Sukthanker2024c,
title = {Large Language Model Compression with Neural Architecture Search},
author = {Rhea Sanjay Sukthanker and Benedikt Staffler and Frank Hutter and Aaron Klein},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Machine Learning and Compression},
keywords = {}
}
|
Müller, Andreas; Siems, Julien; Nori, Harsha; Salinas, David; Zela, Arber; Caruana, Rich; Hutter, Frank GAMformer: Exploring In-Context Learning for Generalized Additive Models Proceedings Article In: NeurIPS 2024 TRL Workshop, 2024. @inproceedings{Müller2024,
title = {GAMformer: Exploring In-Context Learning for Generalized Additive Models},
author = {Andreas Müller and Julien Siems and Harsha Nori and David Salinas and Arber Zela and Rich Caruana and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 TRL Workshop},
keywords = {}
}
|
Hoo, Shi Bin; Müller, Samuel; Salinas, David; Hutter, Frank The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features Proceedings Article In: NeurIPS 2024 TRL Workshop, 2024. @inproceedings{Hoo2024,
title = {The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features},
author = {Shi Bin Hoo and Samuel Müller and David Salinas and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 TRL Workshop},
keywords = {}
}
|
Feuer, Benjamin; Schirrmeister, Robin Tibor; Cherepanova, Valeriia; Hegde, Chinmay; Hutter, Frank; Goldblum, Micah; Cohen, Niv; White, Colin TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Proceedings Article In: 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. @inproceedings{Feuer2024,
title = {TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks},
author = {Benjamin Feuer and Robin Tibor Schirrmeister and Valeriia Cherepanova and Chinmay Hegde and Frank Hutter and Micah Goldblum and Niv Cohen and Colin White},
year = {2024},
booktitle = {38th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Franke, Jörg K. H.; Zela, Arber; Hutter, Frank; Pontil, Massimiliano Unlocking State-Tracking in linear RNNs through Negative Eigenvalues Proceedings Article In: NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning Workshop (M3L), 2024, (Oral Presentation). @inproceedings{Grazzi2024d,
title = {Unlocking State-Tracking in linear RNNs through Negative Eigenvalues},
author = {Riccardo Grazzi and Julien Siems and Jörg K. H. Franke and Arber Zela and Frank Hutter and Massimiliano Pontil},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning Workshop (M3L)},
keywords = {}
}
|
Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank Improving Deep Learning Optimization through Constrained Parameter Regularization Proceedings Article In: 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. @inproceedings{franke2023constrained,
title = {Improving Deep Learning Optimization through Constrained Parameter Regularization},
author = {Jörg K. H. Franke and Michael Hefenbrock and Gregor Koehler and Frank Hutter},
year = {2024},
booktitle = {38th Conference on Neural Information Processing Systems (NeurIPS)},
key = {2311.09058},
keywords = {}
}
|
Helli, Kai; Schnurr, David; Hollmann, Noah; Müller, Samuel; Hutter, Frank Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data Proceedings Article In: 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. @inproceedings{Helli2024b,
title = {Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data},
author = {Kai Helli and David Schnurr and Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2024},
booktitle = {38th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Zela, Arber; Staffler, Benedikt; Klein, Aaron; Purucker, Lennart; Franke, Joerg K. H.; Hutter, Frank HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models Proceedings Article In: 38th Conference on Neural Information Processing Systems (NeurIPS), DBT Track, 2024. @inproceedings{Sukthanker2024e,
title = {HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models},
author = {Rhea Sanjay Sukthanker and Arber Zela and Benedikt Staffler and Aaron Klein and Lennart Purucker and Joerg K.H. Franke and Frank Hutter},
year = {2024},
booktitle = {38th Conference on Neural Information Processing Systems (NeurIPS), DBT Track},
keywords = {}
}
|
Strangmann, Tobias; Purucker, Lennart; Franke, Jörg K. H.; Rapant, Ivo; Ferreira, Fabio; Hutter, Frank Transfer Learning for Finetuning Large Language Models Proceedings Article In: NeurIPS 2024 Workshop on Adaptive Foundation Models, 2024. @inproceedings{strangmann-neuripsws24a,
title = {Transfer Learning for Finetuning Large Language Models},
author = {Tobias Strangmann and Lennart Purucker and Jörg K.H. Franke and Ivo Rapant and Fabio Ferreira and Frank Hutter},
year = {2024},
booktitle = { NeurIPS 2024 Workshop on Adaptive Foundation Models},
keywords = {}
}
|
Ndir, Tidiane Camaret; Biedenkapp, André; Awad, Noor Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Proceedings Article In: Seventeenth European Workshop on Reinforcement Learning, 2024. @inproceedings{ndir-ewrl24a,
title = {Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning},
author = {Tidiane Camaret Ndir and André Biedenkapp and Noor Awad},
year = {2024},
booktitle = {Seventeenth European Workshop on Reinforcement Learning},
journal = {arXiv:2404.09521 [cs.LG]},
keywords = {}
}
|
Robertson, Jake; Schmidt, Thorsten; Hutter, Frank; Awad, Noor A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes Proceedings Article In: Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24), 2024. @inproceedings{Robertson2024b,
title = {A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes},
author = { Jake Robertson and Thorsten Schmidt and Frank Hutter and Noor Awad},
year = {2024},
booktitle = {Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24)},
keywords = {}
}
|
Runge, Frederic; Hutter, Frank Machine Learning for RNA Design: LEARNA Book Chapter In: Churkin, Alexander; Barash, Danny (Ed.): RNA Design: Methods and Protocols, Chapter 5, pp. 63–93, Springer US, New York, NY, 1, 2024, ISBN: 978-1-0716-4079-1. @inbook{nokey,
title = {Machine Learning for RNA Design: LEARNA},
author = {Frederic Runge and Frank Hutter},
editor = {Alexander Churkin and Danny Barash},
doi = {10.1007/978-1-0716-4079-1_5},
year = {2024},
isbn = {978-1-0716-4079-1},
booktitle = {RNA Design: Methods and Protocols},
pages = {63--93},
publisher = {Springer US},
address = {New York, NY},
edition = {1},
chapter = {5},
series = {Methods in Molecular Biology},
keywords = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024, (Runner up for the best paper award). @inproceedings{shala-automl24a,
title = {HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track},
keywords = {}
}
|
Bordne, Philipp; Hasan, M. Asif; Bergman, Eddie; Awad, Noor; Biedenkapp, André CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{bordne-automlworkshop24a,
title = {CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC},
author = {Philipp Bordne and M. Asif Hasan and Eddie Bergman and Noor Awad and André Biedenkapp},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
journal = {arXiv:2407.05789 [cs.LG]},
keywords = {}
}
|
Watanabe, Shuhei; Mallik, Neeratyoy; Bergman, Edward; Hutter, Frank Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024. @inproceedings{Watanabe2024,
title = {Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks},
author = {Shuhei Watanabe and Neeratyoy Mallik and Edward Bergman and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track},
keywords = {}
}
|
Robertson, Jake; Hollmann, Noah; Awad, Noor; Hutter, Frank FairPFN: Transformers Can do Counterfactual Fairness Conference Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @conference{Robertson2024,
title = {FairPFN: Transformers Can do Counterfactual Fairness},
author = {Jake Robertson and Noah Hollmann and Noor Awad and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Rapant, Ivo; Purucker, Lennart; Ferreira, Fabio; Arango, Sebastian Pineda; Kadra, Arlind; Grabocka, Josif; Hutter, Frank Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Rapant2024b,
title = {Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models},
author = {Ivo Rapant and Lennart Purucker and Fabio Ferreira and Sebastian Pineda Arango and Arlind Kadra and Josif Grabocka and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Maier, Jannis; Möller, Felix; Purucker, Lennart Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{maier2024hardware,
title = {Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost},
author = {Jannis Maier and Felix Möller and Lennart Purucker},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Safari, Mahmoud; Hutter, Frank Weight-Entanglement Meets Gradient-Based Neural Architecture Search Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024. @inproceedings{Sukthanker2024b,
title = {Weight-Entanglement Meets Gradient-Based Neural Architecture Search},
author = {Rhea Sanjay Sukthanker and Arjun Krishnakumar and Mahmoud Safari and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank Is Mamba Capable of In-Context Learning? Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024. @inproceedings{Grazzi2024b,
title = {Is Mamba Capable of In-Context Learning?},
author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track},
keywords = {}
}
|
Salinas, David; Erickson, Nick TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024. @inproceedings{Salinas2024,
title = {TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications},
author = {David Salinas and Nick Erickson},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track},
keywords = {}
}
|
Strack, Lukas; Safari, Mahmoud; Hutter, Frank Towards Efficient Search for Customized Activation Functions With Gradient Descent Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Strack2024,
title = {Towards Efficient Search for Customized Activation Functions With Gradient Descent},
author = {Lukas Strack and Mahmoud Safari and Frank Hutter },
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Geburek, Anton Merlin; Mallik, Neeratyoy; Stoll, Danny; Bouthillier, Xavier; Hutter, Frank LMEMs for post-hoc analysis of HPO Benchmarking Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Geburek2024,
title = {LMEMs for post-hoc analysis of HPO Benchmarking},
author = {Anton Merlin Geburek and Neeratyoy Mallik and Danny Stoll and Xavier Bouthillier and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Karakasli, Goktug; Adriaensen, Steven; Hutter, Frank NOSBench-101: Towards Reproducible Neural Optimizer Search Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Karakasli2024,
title = {NOSBench-101: Towards Reproducible Neural Optimizer Search},
author = {Goktug Karakasli and Steven Adriaensen and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Helli, Kai; Schnurr, David; Hollmann, Noah; Müller, Samuel; Hutter, Frank Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Helli2024,
title = {Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data},
author = {Kai Helli and David Schnurr and Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Carstensen, Timur; Elsken, Thomas; Rapp, Martin In-Context Learning for Latency Estimation Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Carstensen2024b,
title = {In-Context Learning for Latency Estimation},
author = {Timur Carstensen and Thomas Elsken and Martin Rapp},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Krishnakumar, Arjun; Jha, Abhash Kumar; Moradian, Shakiba; Rapp, Martin; Hutter, Frank LoRA-DARTS: Low Rank Adaptation for Differentiable Architecture Search Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Krishnakumar2024,
title = {LoRA-DARTS: Low Rank Adaptation for Differentiable Architecture Search},
author = {Arjun Krishnakumar and Abhash Kumar Jha and Shakiba Moradian and Martin Rapp and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Rakotoarison, Herilalaina; Adriaensen, Steven; Mallik, Neeratyoy; Garibov, Samir; Bergman, Edward; Hutter, Frank In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Proceedings Article In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{Rakotoarison2024,
title = {In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization},
author = {Herilalaina Rakotoarison and Steven Adriaensen and Neeratyoy Mallik and Samir Garibov and Edward Bergman and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Viering, Tom Julian; Adriaensen, Steven; Rakotoarison, Herilalaina; Hutter, Frank From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Viering2024,
title = {From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks},
author = {Tom Julian Viering and Steven Adriaensen and Herilalaina Rakotoarison and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Birinxhiku, Lum; Stoll, Danny; Schrodi, Simon; Hutter, Frank Beyond Graph-Based Modeling for Hierarchical Neural Architecture Search Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Birinxhiku2024,
title = {Beyond Graph-Based Modeling for Hierarchical Neural Architecture Search},
author = {Lum Birinxhiku and Danny Stoll and Simon Schrodi and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Blauth, Simon; Bürger, Tobias; Häringer, Zacharias; Franke, Jörg K. H.; Hutter, Frank Fast Optimizer Benchmark Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Blauth2024,
title = {Fast Optimizer Benchmark},
author = {Simon Blauth and Tobias Bürger and Zacharias Häringer and Jörg K.H. Franke and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
|
Bergman, Eddie; Purucker, Lennart; Hutter, Frank Don’t Waste Your Time: Early Stopping Cross-Validation Proceedings Article In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024. @inproceedings{Bergman2024,
title = {Don’t Waste Your Time: Early Stopping Cross-Validation},
author = {Eddie Bergman and Lennart Purucker and Frank Hutter },
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track},
keywords = {}
}
|
Prasanna, Sai; Farid, Karim; Rajan, Raghu; Biedenkapp, André Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Journal Article In: Reinforcement Learning Journal, vol. 3, iss. 1, no. 1, pp. 1317–1350, 2024, ISBN: 979-8-218-41163-3. @article{prasanna-rlc24a,
title = {Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization},
author = {Sai Prasanna and Karim Farid and Raghu Rajan and André Biedenkapp},
year = {2024},
isbn = {979-8-218-41163-3},
booktitle = {Proceedings of the First Reinforcement Learning Conference (RLC’24)},
journal = {Reinforcement Learning Journal},
volume = {3},
number = {1},
pages = {1317–1350},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Zela, Arber; Staffler, Benedikt; Dooley, Samuel; Grabocka, Josif; Hutter, Frank Multi-objective Differentiable Neural Architecture Search Conference 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML), 2024. @conference{Sukthanker2024,
title = {Multi-objective Differentiable Neural Architecture Search},
author = {Rhea Sanjay Sukthanker and Arber Zela and Benedikt Staffler and Samuel Dooley and Josif Grabocka and Frank Hutter},
year = {2024},
booktitle = {2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML)},
keywords = {}
}
|
Patil, Sharat; Schirrmeister, Robin Tibor; Ball, Tonio; Hutter, Frank CoordConformer: Heterogenous EEG datasets decoding using Transformers Conference Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM@ICML), 2024. @conference{Patil2024,
title = {CoordConformer: Heterogenous EEG datasets decoding using Transformers},
author = {Sharat Patil and Robin Tibor Schirrmeister and Tonio Ball and Frank Hutter},
year = {2024},
booktitle = {Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM@ICML)},
keywords = {}
}
|
Kadlecová, Gabriela; Lukasik, Jovita; Pilát, Martin; Vidnerová, Petra; Safari, Mahmoud; Neruda, Roman; Hutter, Frank Surprisingly Strong Performance Prediction with Neural Graph Features Proceedings Article In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{kadlecova-icml24a,
title = {Surprisingly Strong Performance Prediction with Neural Graph Features},
author = {Gabriela Kadlecová and Jovita Lukasik and Martin Pilát and Petra Vidnerová and Mahmoud Safari and Roman Neruda and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Rakotoarison, Herilalaina; Adriaensen, Steven; Mallik, Neeratyoy; Garibov, Samir; Bergman, Eddie; Hutter, Frank In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Proceedings Article In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{nokey,
title = {In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization},
author = {Herilalaina Rakotoarison and Steven Adriaensen and Neeratyoy Mallik and Samir Garibov and Eddie Bergman and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Lindauer, Marius; Karl, Florian; Klier, Anne; Moosbauer, Julia; Tornede, Alexander; Mueller, Andreas C; Hutter, Frank; Feurer, Matthias; Bischl, Bernd Position: A Call to Action for a Human-Centered AutoML Paradigm Proceedings Article In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{Lindauer2024,
title = {Position: A Call to Action for a Human-Centered AutoML Paradigm},
author = {Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and Andreas C Mueller and Frank Hutter and Matthias Feurer and Bernd Bischl},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Runge, Frederic; Franke, Jörg K. H.; Fertmann, Daniel; Backofen, Rolf; Hutter, Frank Partial RNA Design Journal Article In: Bioinformatics, vol. 40, no. Supplement_1, pp. i437–i445, 2024, (Oral Presentation at ISMB'24). @article{nokey,
title = {Partial RNA Design},
author = {Frederic Runge and Jörg K.H. Franke and Daniel Fertmann and Rolf Backofen and Frank Hutter},
doi = {https://doi.org/10.1093/bioinformatics/btae222},
year = {2024},
journal = {Bioinformatics},
volume = {40},
number = {Supplement_1},
pages = {i437--i445},
publisher = {Oxford University Press},
keywords = {}
}
|
Matus, Dominika; Runge, Frederic; Franke, Jörg K. H.; Gerne, Lars; Uhl, Michael; Hutter, Frank; Backofen, Rolf RNA-Protein Interaction Prediction via Sequence Embeddings Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024. @workshop{nokey,
title = {RNA-Protein Interaction Prediction via Sequence Embeddings},
author = {Dominika Matus and Frederic Runge and Jörg K. H. Franke and Lars Gerne and Michael Uhl and Frank Hutter and Rolf Backofen},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
|
Patil, Sharat; Runge, Frederic; Franke, Jörg K. H.; Hutter, Frank Towards Generative RNA Design with Tertiary Interactions Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024, (Oral Presentation). @workshop{nokey,
title = {Towards Generative RNA Design with Tertiary Interactions},
author = {Sharat Patil and Frederic Runge and Jörg K. H. Franke and Frank Hutter},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
|
Kohli, Ravin; Feurer, Matthias; Eggensperger, Katharina; Bischl, Bernd; Hutter, Frank Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning Proceedings Article In: Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024), 2024. @inproceedings{Kohli2024,
title = {Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning},
author = {Ravin Kohli and Matthias Feurer and Katharina Eggensperger and Bernd Bischl and Frank Hutter},
year = {2024},
booktitle = {Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024)},
journal = {Data-centric Machine Learning Research (DMLR) Workshop at ICLR},
keywords = {}
}
|
Franke, Jörg; Hefenbrock, Michael; Hutter, Frank Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning Proceedings Article In: Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop, 2024. @inproceedings{nokey,
title = {Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning},
author = {Jörg Franke and Michael Hefenbrock and Frank Hutter},
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop},
journal = {Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank Is Mamba Capable of In-Context Learning? Proceedings Article In: Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop, 2024. @inproceedings{Grazzi2024,
title = {Is Mamba Capable of In-Context Learning?},
author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter },
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Grabocka, Josif Hierarchical Transformers are Efficient Meta-Reinforcement Learners Journal Article In: arXiv:2402.06402 [cs.LG], 2024. @article{shala-arxiv24a,
title = {Hierarchical Transformers are Efficient Meta-Reinforcement Learners},
author = {Gresa Shala and André Biedenkapp and Josif Grabocka},
year = {2024},
journal = {arXiv:2402.06402 [cs.LG]},
keywords = {}
}
|
Franke, Jörg K. H.; Runge, Frederic; Köksal, Ryan; Backofen, Rolf; Hutter, Frank RNAformer: A Simple Yet Effective Deep Learning Model for RNA Secondary Structure Prediction Miscellaneous 2024. @misc{nokey,
title = {RNAformer: A Simple Yet Effective Deep Learning Model for RNA Secondary Structure Prediction},
author = {Jörg K.H. Franke and Frederic Runge and Ryan Köksal and Rolf Backofen and Frank Hutter},
year = {2024},
keywords = {}
}
|
Hvarfner, Carl; Hutter, Frank; Nardi, Luigi A General Framework for User-Guided Bayesian Optimization Proceedings Article In: The Twelfth International Conference on Learning Representations (ICLR), 2024. @inproceedings{Hvarfner2024,
title = {A General Framework for User-Guided Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
year = {2024},
booktitle = {The Twelfth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Proceedings Article In: The Twelfth International Conference on Learning Representations (ICLR), 2024, (Oral Presentation). @inproceedings{Arango2024,
title = {Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How},
author = {Sebastian Pineda Arango and Fabio Ferreira and Arlind Kadra and Frank Hutter and Josif Grabocka},
year = {2024},
booktitle = {The Twelfth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Runge, Frederic; Farid, Karim; Franke, Jörg K. H.; Hutter, Frank RNABench: A Comprehensive Library for In Silico RNA Modelling Miscellaneous 2024. @misc{nokey,
title = {RNABench: A Comprehensive Library for In Silico RNA Modelling},
author = {Frederic Runge and Karim Farid and Jörg K.H. Franke and Frank Hutter},
year = {2024},
keywords = {}
}
|
Bergman, Edward; Feurer, Matthias; Bahram, Aron; Balef, Amir Rezaei; Purucker, Lennart; Segel, Sarah; Lindauer, Marius; Hutter, Frank; Eggensperger, Katharina AMLTK: A Modular AutoML Toolkit in Python Journal Article In: Journal of Open Source Software, vol. 9, no. 100, pp. 6367, 2024. @article{bergman2024amltk,
title = {AMLTK: A Modular AutoML Toolkit in Python},
author = {Edward Bergman and Matthias Feurer and Aron Bahram and Amir Rezaei Balef and Lennart Purucker and Sarah Segel and Marius Lindauer and Frank Hutter and Katharina Eggensperger},
year = {2024},
journal = {Journal of Open Source Software},
volume = {9},
number = {100},
pages = {6367},
keywords = {}
}
|
Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems Proceedings Article In: European Conference on Information Retrieval, pp. 140–156, Springer 2024. @inproceedings{wegmeth2024revealing,
title = {Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems},
author = {Lukas Wegmeth and Tobias Vente and Lennart Purucker},
year = {2024},
booktitle = {European Conference on Information Retrieval},
pages = {140--156},
organization = {Springer},
keywords = {}
}
|
2023
|
Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank New Horizons in Parameter Regularization: A Constraint Approach Proceedings Article In: OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023), 2023. @inproceedings{franke2023new,
title = {New Horizons in Parameter Regularization: A Constraint Approach},
author = {Jörg K. H. Franke and Michael Hefenbrock and Gregor Koehler and Frank Hutter},
year = {2023},
booktitle = {OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023)},
keywords = {}
}
|
Runge, Frederic; Franke, Jörg K. H.; Fertmann, Daniel; Hutter, Frank Rethinking Performance Measures of RNA Secondary Structure Problems Workshop Machine Learning for Structural Biology Workshop, (NeruIPS 2023), 2023. @workshop{runge2023rethinking,
title = {Rethinking Performance Measures of RNA Secondary Structure Problems},
author = {Frederic Runge and Jörg K. H. Franke and Daniel Fertmann and Frank Hutter},
year = {2023},
booktitle = {Machine Learning for Structural Biology Workshop, (NeruIPS 2023)},
keywords = {}
}
|
Hvarfner, Carl; Hellsten, Erik Orm; Hutter, Frank; Nardi, Luigi Self-Correcting Bayesian Optimization through Bayesian Active Learning Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{<LineBreak>hvarfner2023selfcorrecting,
title = {Self-Correcting Bayesian Optimization through Bayesian Active Learning},
author = {Carl Hvarfner and Erik Orm Hellsten and Frank Hutter and Luigi Nardi},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Dooley*, Samuel; Sukthanker*, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023, (Oral Paper - top 2% of accepted papers). @inproceedings{dooley-fairnas-2023,
title = {Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition},
author = {Samuel Dooley* and Rhea Sanjay Sukthanker* and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{schrodi2023hierarchical,
title = {Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sanjay Sukthanker and Thomas Brox and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Mallik, Neeratyoy; Bergman, Eddie; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{mallik2023priorband,
title = {PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning},
author = {Neeratyoy Mallik and Eddie Bergman and Carl Hvarfner and Danny Stoll and Maciej Janowski and Marius Lindauer and Luigi Nardi and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{adriaensen2023lcpfn,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Hutter, Frank Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{hollmann2023caafe,
title = {Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart; Beel, Joeran The Effect of Random Seeds for Data Splitting on Recommendation Accuracy Conference Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2023), co-located with the 17th ACM Conference on Recommender Systems, 2023. @conference{Wegmeth2023,
title = {The Effect of Random Seeds for Data Splitting on Recommendation Accuracy},
author = {Lukas Wegmeth and Tobias Vente and Lennart Purucker and Joeran Beel},
year = {2023},
booktitle = {Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2023), co-located with the 17th ACM Conference on Recommender Systems},
keywords = {}
}
|
Purucker, Lennart; Beel, Joeran CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure Conference AutoML Conference 2023, 2023. @conference{Purucker2023,
title = {CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure},
author = {Lennart Purucker and Joeran Beel},
year = {2023},
booktitle = {AutoML Conference 2023},
keywords = {}
}
|
Purucker, Lennart; Schneider, Lennart; Anastacio, Marie; Beel, Joeran; Bischl, Bernd; Hoos, Holger Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Conference AutoML Conference 2023, 2023. @conference{nokey,
title = {Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML},
author = {Lennart Purucker and Lennart Schneider and Marie Anastacio and Joeran Beel and Bernd Bischl and Holger Hoos},
year = {2023},
booktitle = {AutoML Conference 2023},
journal = {AutoML Conference 2023},
keywords = {}
}
|
Siems, Julien; Ditschuneit, Konstantin; Ripken, Winfried; Lindborg, Alma; Schambach, Maximilian; Otterbach, Johannes; Genzel, Martin Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. @inproceedings{nokey,
title = {Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models},
author = {Julien Siems and Konstantin Ditschuneit and Winfried Ripken and Alma Lindborg and Maximilian Schambach and Johannes Otterbach and Martin Genzel},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)},
keywords = {}
}
|
Watanabe, Shuhei; Hutter, Frank c-TPE: Tree-Structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Proceedings Article In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), ijcai.org, 2023. @inproceedings{watanabe-ijcai23-ctpe,
title = {c-TPE: Tree-Structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization},
author = {Shuhei Watanabe and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/486},
year = {2023},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
journal = {IJCAI},
publisher = {ijcai.org},
keywords = {}
}
|
Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Proceedings Article In: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), 2023. @inproceedings{Watanabe22b,
title = {Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator},
author = {Shuhei Watanabe and Noor Awad and Masaki Onishi and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/487},
year = {2023},
booktitle = {Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
keywords = {}
}
|
Watanabe, Shuhei; Bansal, Archit; Hutter, Frank PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Proceedings Article In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), 2023. @inproceedings{Watanabe23c,
title = {PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces},
author = {Shuhei Watanabe and Archit Bansal and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/488},
year = {2023},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
keywords = {}
}
|
Runge, Frederic; Franke, Jörg K. H.; Hutter, Frank Towards Automated Design of Riboswitches Workshop The 2023 ICML Workshop on Computational Biology, 2023. @workshop{runge2023towards,
title = {Towards Automated Design of Riboswitches},
author = {Frederic Runge and Jörg K. H. Franke and Frank Hutter},
year = {2023},
booktitle = {The 2023 ICML Workshop on Computational Biology},
keywords = {}
}
|
Müller, Samuel; Feurer, Matthias; Hollmann, Noah; Hutter, Frank PFNs4BO: In-Context Learning for Bayesian Optimization Proceedings Article In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023. @inproceedings{sam_at_icml23,
title = {PFNs4BO: In-Context Learning for Bayesian Optimization},
author = {Samuel Müller and Matthias Feurer and Noah Hollmann and Frank Hutter},
year = {2023},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML 2023)},
keywords = {}
}
|
Franke, Jörg K. H.; Runge, Frederic; Hutter, Frank Scalable Deep Learning for RNA Secondary Structure Prediction Workshop The 2023 ICML Workshop on Computational Biology, 2023. @workshop{nokey,
title = {Scalable Deep Learning for RNA Secondary Structure Prediction},
author = {Jörg K.H. Franke and Frederic Runge and Frank Hutter},
year = {2023},
booktitle = {The 2023 ICML Workshop on Computational Biology},
keywords = {}
}
|
Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 77, pp. 821-890, 2023. @article{rajan-jair23,
title = {MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
doi = {10.1613/jair.1.14314},
year = {2023},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {77},
pages = {821-890},
keywords = {}
}
|
Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Conference 2023. @conference{nokey,
title = {Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How},
author = {Sebastian Pineda Arango and Fabio Ferreira and Arlind Kadra and Frank Hutter and Josif Grabocka},
year = {2023},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Mohan, Aditya; Döhler, Sebastian; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius Contextualize Me - The Case for Context in Reinforcement Learning Journal Article In: Transactions on Machine Learning Research, 2023, ISBN: 2835-8856. @article{benjamins-tmlr23a,
title = {Contextualize Me - The Case for Context in Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and Aditya Mohan and Sebastian Döhler and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
editor = {Adam M White},
year = {2023},
isbn = {2835-8856},
journal = {Transactions on Machine Learning Research},
keywords = {}
}
|
Awad, Noor; Sharma, Ayushi; Müller, Philipp; Thomas, Janek; Hutter, Frank MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Online 2023, visited: 09.05.2023. @online{Awad-arXiv-2023,
title = {MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization},
author = {Noor Awad and Ayushi Sharma and Philipp Müller and Janek Thomas and Frank Hutter},
year = {2023},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Proceedings Article In: Eleventh International Conference on Learning Representations (ICLR'23), 2023. @inproceedings{shala-iclr23a,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {Eleventh International Conference on Learning Representations (ICLR'23)},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Proceedings Article In: The Eleventh International Conference on Learning Representations, 2023, (top 5% of accepted papers). @inproceedings{shala2023transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Proceedings Article In: The Eleventh International Conference on Learning Representations (ICLR), 2023, ( top-25% of accepted papers ). @inproceedings{hollmann2023tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Hvarfner, Carl; Hellsten, Erik; Hutter, Frank; Nardi, Luigi Self-Correcting Bayesian Optimization through Bayesian Active Learning Miscellaneous 2023. @misc{hvarfner2023selfcorrecting,
title = {Self-Correcting Bayesian Optimization through Bayesian Active Learning},
author = {Carl Hvarfner and Erik Hellsten and Frank Hutter and Luigi Nardi},
year = {2023},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Pfisterer, Florian; Bischl, Bernd; Hutter, Frank Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Proceedings Article In: Crémilleux, Bruno; Hess, Sibylle; Nijssen, Siegfried (Ed.): Advances in Intelligent Data Analysis XXI. IDA 2023., pp. 130-142, Springer, Cham, 2023. @inproceedings{feurer-ida23a,
title = {Mind the Gap: Measuring Generalization Performance Across Multiple Objectives},
author = {Matthias Feurer and Katharina Eggensperger and Edward Bergman and Florian Pfisterer and Bernd Bischl and Frank Hutter},
editor = {Crémilleux, Bruno and Hess, Sibylle and Nijssen, Siegfried},
doi = {https://doi.org/10.1007/978-3-031-30047-9_11},
year = {2023},
booktitle = {Advances in Intelligent Data Analysis XXI. IDA 2023.},
volume = {13876},
pages = {130-142},
publisher = {Springer, Cham},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Siems, Julien; Schambach, Maximilian; Schulze, Sebastian; Otterbach, Johannes Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management Conference AI4ABM Workshop at ICLR 2023, 2023. @conference{nokey,
title = {Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management},
author = {Julien Siems and Maximilian Schambach and Sebastian Schulze and Johannes Otterbach},
year = {2023},
booktitle = {AI4ABM Workshop at ICLR 2023},
keywords = {}
}
|
Weerts, Hilde; Pfisterer, Florian; Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Awad, Noor; Vanschoren, Joaquin; Pechenizkiy, Mykola; Bischl, Bernd; Hutter, Frank Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Journal Article In: arXiv:2303.08485 [cs.AI], 2023. @article{weerts-arxiv23a,
title = {Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML},
author = {Hilde Weerts and Florian Pfisterer and Matthias Feurer and Katharina Eggensperger and Edward Bergman and Noor Awad and Joaquin Vanschoren and Mykola Pechenizkiy and Bernd Bischl and Frank Hutter},
year = {2023},
journal = {arXiv:2303.08485 [cs.AI]},
keywords = {}
}
|
Weissteiner, Jakob; Heiss, Jakob; Siems, Julien; Seuken, Sven Bayesian Optimization based Combinatorial Assignment Proceedings Article In: AAAI 2023, 2023. @inproceedings{nokey,
title = {Bayesian Optimization based Combinatorial Assignment},
author = {Jakob Weissteiner and Jakob Heiss and Julien Siems and Sven Seuken},
year = {2023},
booktitle = {AAAI 2023},
keywords = {}
}
|
White, Colin; Safari, Mahmoud; Sukthanker, Rhea; Ru, Binxin; Elsken, Thomas; Zela, Arber; Dey, Debadeepta; Hutter, Frank Neural Architecture Search: Insights from 1000 Papers Online 2023, visited: 20.01.2023. @online{white2023neural,
title = {Neural Architecture Search: Insights from 1000 Papers},
author = {Colin White and Mahmoud Safari and Rhea Sukthanker and Binxin Ru and Thomas Elsken and Arber Zela and Debadeepta Dey and Frank Hutter},
year = {2023},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea; Brox, Thomas; Hutter, Frank Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Miscellaneous 2023. @misc{schrodi2023construction,
title = {Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sukthanker and Thomas Brox and Frank Hutter},
year = {2023},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Hutter, Frank LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Proceedings Article In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{<LineBreak>anonymous2023llms,
title = {LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
2022
|
Adriaensen, Steven; Biedenkapp, André; Shala, Gresa; Awad, Noor; Eimer, Theresa; Lindauer, Marius; Hutter, Frank Automated Dynamic Algorithm Configuration Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 75, pp. 1633-1699, 2022. @article{adriaens-arxiv22a,
title = {Automated Dynamic Algorithm Configuration},
author = {Steven Adriaensen and André Biedenkapp and Gresa Shala and Noor Awad and Theresa Eimer and Marius Lindauer and Frank Hutter},
doi = {10.1613/jair.1.13922 },
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {75},
pages = {1633-1699},
keywords = {}
}
|
Bansal, Archit; Stoll, Danny; Janowski, Maciej; Zela, Arber; Hutter, Frank JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search Proceedings Article In: Thirty-sixth Conference on Neural Information Processing Systems, 2022, (Featured Paper - top 7.5% of accepted papers). @inproceedings{bansal-neurips22a,
title = {JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search},
author = {Archit Bansal and Danny Stoll and Maciej Janowski and Arber Zela and Frank Hutter},
year = {2022},
booktitle = {Thirty-sixth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif AutoRL-Bench 1.0 Proceedings Article In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22a,
title = {AutoRL-Bench 1.0},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Proceedings Article In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22b,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Hvarfner, Carl; Hutter, Frank; Nardi, Luigi Joint Entropy Search For Maximally-Informed Bayesian Optimization Proceedings Article In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022. @inproceedings{hvarfner2022joint,
title = {Joint Entropy Search For Maximally-Informed Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
editor = {Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year = {2022},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS 2022)},
keywords = {}
}
|
Franke, Jörg; Runge, Frederic; Hutter, Frank Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Proceedings Article In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022. @inproceedings{franke2022probabilistic,
title = {Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design},
author = {Jörg Franke and Frederic Runge and Frank Hutter},
editor = {Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year = {2022},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS 2022)},
keywords = {}
}
|
Krishnakumar, Arjun; White, Colin; Zela, Arber; Tu, Renbo; Safari, Mahmoud; Hutter, Frank NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies Proceedings Article In: Thirty-sixth Conference on Neural Information Processing Systems, 2022. @inproceedings{krishnakumar2022nasbenchsuitezero,
title = {NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies},
author = {Arjun Krishnakumar and Colin White and Arber Zela and Renbo Tu and Mahmoud Safari and Frank Hutter},
year = {2022},
booktitle = {Thirty-sixth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Purucker, Lennart; Stamm, Felix; Lemmerich, Florian; Beel, Joeran Estimating the Pruned Search Space Size of Subgroup Discovery Proceedings Article In: 2022 IEEE International Conference on Data Mining (ICDM), 2022. @inproceedings{Purucker2022,
title = {Estimating the Pruned Search Space Size of Subgroup Discovery},
author = {Lennart Purucker and Felix Stamm and Florian Lemmerich and Joeran Beel},
year = {2022},
booktitle = {2022 IEEE International Conference on Data Mining (ICDM)},
keywords = {}
}
|
Roberts, Nicholas; Guo, Samuel; Xu, Cong; Talwalkar, Ameet; Lander, David; Tao, Lvfang; Cai, Linhang; Niu, Shuaicheng; Heng, Jianyu; Qin, Hongyang; Deng, Minwen; Hog, Johannes; Pfefferle, Alexander; Shivakumar, Sushil Ammanaghatta; Krishnakumar, Arjun; Wang, Yubo; Sukthanker, Rhea; Hutter, Frank; Hasanaj, Euxhen; Le, Tien-Dung; Khodak, Mikhail; Nevmyvaka, Yuriy; Rasul, Kashif; Sala, Frederic; Schneider, Anderson; Shen, Junhong; Sparks, Evan AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale Proceedings Article In: Ciccone, Marco; Stolovitzky, Gustavo; Albrecht, Jacob (Ed.): Proceedings of the NeurIPS 2022 Competitions Track, pp. 151–170, PMLR, 2022. @inproceedings{pmlr-v220-roberts23a,
title = {AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale},
author = {Nicholas Roberts and Samuel Guo and Cong Xu and Ameet Talwalkar and David Lander and Lvfang Tao and Linhang Cai and Shuaicheng Niu and Jianyu Heng and Hongyang Qin and Minwen Deng and Johannes Hog and Alexander Pfefferle and Sushil Ammanaghatta Shivakumar and Arjun Krishnakumar and Yubo Wang and Rhea Sukthanker and Frank Hutter and Euxhen Hasanaj and Tien-Dung Le and Mikhail Khodak and Yuriy Nevmyvaka and Kashif Rasul and Frederic Sala and Anderson Schneider and Junhong Shen and Evan Sparks},
editor = {Marco Ciccone and Gustavo Stolovitzky and Jacob Albrecht},
year = {2022},
booktitle = {Proceedings of the NeurIPS 2022 Competitions Track},
volume = {220},
pages = {151--170},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
keywords = {}
}
|
Biedenkapp, André Dynamic Algorithm Configuration by Reinforcement Learning PhD Thesis University of Freiburg, Department of Computer Science, 2022. @phdthesis{biedenkapp22,
title = {Dynamic Algorithm Configuration by Reinforcement Learning},
author = {André Biedenkapp},
year = {2022},
address = {Freiburg, Germany},
school = {University of Freiburg, Department of Computer Science},
keywords = {}
}
|
Nematollahi, Iman; Rosete-Beas, Erick; Azad, Seyed Mahdi B; Rajan, Raghu; Hutter, Frank; Burgard, Wolfram T3VIP: Transformation-based 3D Video Prediction Proceedings Article In: IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS), 2022. @inproceedings{nematollahi_t3vip-iros22,
title = {T3VIP: Transformation-based 3D Video Prediction},
author = {Nematollahi, Iman and Rosete-Beas, Erick and Azad, Seyed Mahdi B and Rajan, Raghu and Hutter, Frank and Burgard, Wolfram},
year = {2022},
booktitle = {IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS)},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Journal Article In: Journal of Machine Learning Research, vol. 23, no. 261, pp. 1-61, 2022. @article{feurer-jmlr22a,
title = {Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning},
author = {Matthias Feurer and Katharina Eggensperger and Stefan Falkner and Marius Lindauer and Frank Hutter},
editor = {Marc Schoenauer},
year = {2022},
journal = {Journal of Machine Learning Research},
volume = {23},
number = {261},
pages = {1-61},
keywords = {}
}
|
Feurer, Matthias Robust and Efficient Automated Machine Learning: Systems, Infrastructure and Advances in Hyperparameter Optimization PhD Thesis University of Freiburg, Department of Computer Science, 2022. @phdthesis{feurer22,
title = {Robust and Efficient Automated Machine Learning: Systems, Infrastructure and Advances in Hyperparameter Optimization},
author = {Matthias Feurer},
year = {2022},
address = {Freiburg, Germany},
school = {University of Freiburg, Department of Computer Science},
keywords = {}
}
|
Weissteiner, Jakob; Heiss, Jakob; Siems, Julien; Seuken, Sven Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment Proceedings Article In: IJCAI-ECAI, 2022. @inproceedings{nokey,
title = {Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment},
author = {Jakob Weissteiner and Jakob Heiss and Julien Siems and Sven Seuken},
year = {2022},
booktitle = {IJCAI-ECAI},
keywords = {}
}
|
Hvarfner, Carl; Hutter, Frank; Nardi, Luigi Joint Entropy Search For Maximally-Informed Bayesian Optimization Proceedings Article In: Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22), 2022. @inproceedings{hvarfner-realml22a,
title = {Joint Entropy Search For Maximally-Informed Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
year = {2022},
booktitle = {Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22)},
keywords = {}
}
|
Sass, René; Bergman, Eddie; Biedenkapp, André; Hutter, Frank; Lindauer, Marius DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning Proceedings Article In: Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22), 2022. @inproceedings{sass-arxiv22,
title = {DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning},
author = {René Sass and Eddie Bergman and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2022},
booktitle = {Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22)},
journal = {arXiv:2206.03493 [cs.LG]},
keywords = {}
}
|
Biedenkapp, André; Dang, Nguyen; Krejca, Martin S.; Hutter, Frank; Doerr, Carola Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration Proceedings Article In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22), 2022, (Won the best paper award in the GECH track). @inproceedings{biedenkapp-gecco22a,
title = {Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration},
author = {André Biedenkapp and Nguyen Dang and Martin S. Krejca and Frank Hutter and Carola Doerr},
year = {2022},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22)},
journal = {arXiv:2202.03259},
keywords = {}
}
|
Eggensperger, Katharina Advanced Hyperparameter Optimization: Performance Modelling and Efficient Benchmarking PhD Thesis University of Freiburg, Department of Computer Science, 2022. @phdthesis{eggensperger22,
title = {Advanced Hyperparameter Optimization: Performance Modelling and Efficient Benchmarking},
author = {Katharina Eggensperger},
year = {2022},
address = {Freiburg, Germany},
school = {University of Freiburg, Department of Computer Science},
keywords = {}
}
|
Biedenkapp, André; Speck, David; Sievers, Silvan; Hutter, Frank; Lindauer, Marius; Seipp, Jendrik Learning Domain-Independent Policies for Open List Selection Proceedings Article In: Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ ICAPS'22), 2022. @inproceedings{biedenkapp-prl22a,
title = {Learning Domain-Independent Policies for Open List Selection},
author = {André Biedenkapp and David Speck and Silvan Sievers and Frank Hutter and Marius Lindauer and Jendrik Seipp},
year = {2022},
booktitle = {Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ ICAPS'22)},
keywords = {}
}
|
Öztürk*, Ekrem; Ferreira*, Fabio; Jomaa*, Hadi S.; Schmidt-Thieme, Lars; Grabocka, Josif; Hutter, Frank Zero-shot AutoML with Pretrained Models Proceedings Article In: International Conference on Machine Learning (ICML), 2022. @inproceedings{ferreira-icml22a,
title = {Zero-shot AutoML with Pretrained Models},
author = {Ekrem Öztürk* and Fabio Ferreira* and Hadi S. Jomaa* and Lars Schmidt-Thieme and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Wagner, Diane; Ferreira, Fabio; Stoll, Danny; Schirrmeister, Robin Tibor; Müller, Samuel; Hutter, Frank On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Workshop ICML Pre-training Workshop, 2022. @workshop{ferreira-icml22b,
title = {On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning},
author = {Diane Wagner and Fabio Ferreira and Danny Stoll and Robin Tibor Schirrmeister and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {ICML Pre-training Workshop},
keywords = {}
}
|
Parker-Holder, Jack; Rajan, Raghu; Song, Xingyou; Biedenkapp, André; Miao, Yingjie; Eimer, Theresa; Zhang, Baohe; Nguyen, Vu; Calandra, Roberto; Faust, Aleksandra; Hutter, Frank; Lindauer, Marius Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 74, pp. 517-568, 2022. @article{parker-holder-jair22a,
title = {Automated Reinforcement Learning (AutoRL): A Survey and Open Problems},
author = {Jack Parker-Holder and Raghu Rajan and Xingyou Song and André Biedenkapp and Yingjie Miao and Theresa Eimer and Baohe Zhang and Vu Nguyen and Roberto Calandra and Aleksandra Faust and Frank Hutter and Marius Lindauer},
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {74},
pages = {517-568},
keywords = {}
}
|
Müller, Samuel; Hollmann, Noah; Arango, Sebastian Pineda; Grabocka, Josif; Hutter, Frank Transformers Can Do Bayesian Inference Proceedings Article In: 10th International Conference on Learning Representations, ICLR 2022, 2022. @inproceedings{nokey,
title = {Transformers Can Do Bayesian Inference},
author = {Samuel Müller and Noah Hollmann and Sebastian Pineda Arango and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {10th International Conference on Learning Representations, ICLR 2022},
keywords = {}
}
|
Mehta*, Yash; White*, Colin; Zela, Arber; Krishnakumar, Arjun; Zabergja, Guri; Moradian, Shakiba; Safari, Mahmoud; Yu, Kaicheng; Hutter, Frank NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Proceedings Article In: International Conference on Learning Representations (ICLR) 2022, 2022. @inproceedings{mehta-iclr22,
title = {NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy},
author = {Yash Mehta* and Colin White* and Arber Zela and Arjun Krishnakumar and Guri Zabergja and Shakiba Moradian and Mahmoud Safari and Kaicheng Yu and Frank Hutter},
year = {2022},
booktitle = {International Conference on Learning Representations (ICLR) 2022},
keywords = {}
}
|
Zela, Arber; Siems, Julien; Zimmer, Lucas; Lukasik, Jovita; Keuper, Margret; Hutter, Frank Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Proceedings Article In: International Conference on Learning Representations (ICLR), 2022. @inproceedings{zela-iclr21,
title = {Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks},
author = {Arber Zela and Julien Siems and Lucas Zimmer and Jovita Lukasik and Margret Keuper and Frank Hutter},
year = {2022},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Purucker, Lennart; Beel, Joeran Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Conference First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022. @conference{Purucker2022b,
title = {Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML},
author = {Lennart Purucker and Joeran Beel },
year = {2022},
booktitle = {First Conference on Automated Machine Learning (Late-Breaking Workshop)},
keywords = {}
}
|
Hvarfner, Carl; Stoll, Danny; Souza, Artur; Lindauer, Marius; Hutter, Frank; Nardi, Luigi πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Proceedings Article In: 10th International Conference on Learning Representations, ICLR 2022, OpenReview.net, 2022. @inproceedings{Hvarfner0000,
title = {πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization},
author = {Carl Hvarfner and Danny Stoll and Artur Souza and Marius Lindauer and Frank Hutter and Luigi Nardi},
year = {2022},
booktitle = {10th International Conference on Learning Representations, ICLR 2022},
publisher = {OpenReview.net},
keywords = {}
}
|
Swan, Jerry; Adriaensen, Steven; Brownlee, Alexander EI; Hammond, Kevin; Johnson, Colin G; Kheiri, Ahmed; Krawiec, Faustyna; Merelo, Juan Julián; Minku, Leandro L; Özcan, Ender; Pappa, Gisele L; García-Sánchez, Pablo; Sörensen, Kenneth; Voß, Stefan; Wagner, Markus; White, David R Metaheuristics “in the large” Journal Article In: European Journal of Operational Research, vol. 297, iss. 2, pp. 393-406, 2022. @article{swan2022metaheuristics,
title = {Metaheuristics “in the large”},
author = {Jerry Swan and Steven Adriaensen and Alexander EI Brownlee and Kevin Hammond and Colin G Johnson and Ahmed Kheiri and Faustyna Krawiec and Juan Julián Merelo and Leandro L Minku and Ender Özcan and Gisele L Pappa and Pablo García-Sánchez and Kenneth Sörensen and Stefan Voß and Markus Wagner and David R White},
year = {2022},
journal = {European Journal of Operational Research},
volume = {297},
pages = {393-406},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Mohan, Aditya; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius Contextualize Me – The Case for Context in Reinforcement Learning Journal Article In: arXiv:2202.04500, 2022. @article{benjamins-arxiv22a,
title = {Contextualize Me – The Case for Context in Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and Aditya Mohan and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
year = {2022},
journal = {arXiv:2202.04500},
keywords = {}
}
|
Ferreira, Fabio; Nierhoff, Thomas; Sälinger, Andreas; Hutter, Frank Learning Synthetic Environments and Reward Networks for Reinforcement Learning Proceedings Article In: 10th International Conference on Learning Representations (ICLR), OpenReview.net, 2022. @inproceedings{,
title = {Learning Synthetic Environments and Reward Networks for Reinforcement Learning},
author = {Fabio Ferreira and Thomas Nierhoff and Andreas Sälinger and Frank Hutter},
year = {2022},
booktitle = {10th International Conference on Learning Representations (ICLR), OpenReview.net},
keywords = {}
}
|
Lindauer, Marius; Eggensperger, Katharina; Feurer, Matthias; Biedenkapp, André; Deng, Difan; Benjamins, Carolin; Ruhkopf, Tim; Sass, René; Hutter, Frank SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Journal Article In: Journal of Machine Learning Research (JMLR) -- MLOSS, vol. 23, no. 54, pp. 1-9, 2022. @article{lindauer-jmlr22a,
title = { SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization},
author = {Marius Lindauer and Katharina Eggensperger and Matthias Feurer and André Biedenkapp and Difan Deng and Carolin Benjamins and Tim Ruhkopf and René Sass and Frank Hutter},
year = {2022},
journal = {Journal of Machine Learning Research (JMLR) -- MLOSS},
volume = {23},
number = {54},
pages = {1-9},
keywords = {}
}
|
Feurer, Matthias; Letham, Benjamin; Hutter, Frank; Bakshy, Eytan Practical Transfer Learning for Bayesian Optimization Journal Article In: arXiv:1802:02219v3 [stat.ML], 2022. @article{feurer-arxiv22a,
title = {Practical Transfer Learning for Bayesian Optimization},
author = {Matthias Feurer and Benjamin Letham and Frank Hutter and Eytan Bakshy },
year = {2022},
journal = {arXiv:1802:02219v3 [stat.ML]},
keywords = {}
}
|
Müller, Samuel; Arango, Sebastian Pineda; Feurer, Matthias; Grabocka, Josif; Hutter, Frank Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Workshop Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @workshop{müller2022bayesian,
title = {Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only},
author = {Samuel Müller and Sebastian Pineda Arango and Matthias Feurer and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Proceedings Article In: NeurIPS 2022 First Table Representation Workshop, 2022. @inproceedings{hollmann2022tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2022},
booktitle = {NeurIPS 2022 First Table Representation Workshop},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank Towards Discovering Neural Architectures from Scratch Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{schrodi2022towards,
title = {Towards Discovering Neural Architectures from Scratch},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sanjay Sukthanker and Thomas Brox and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{adriaensen2022efficientb,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank Multi-objective Tree-structured Parzen Estimator Meets Meta-learning Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{watanabe2022multiobjective,
title = {Multi-objective Tree-structured Parzen Estimator Meets Meta-learning},
author = {Shuhei Watanabe and Noor Awad and Masaki Onishi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Patil, Sharat; Hutter, Frank GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{sukthanker2022gravite,
title = {GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights},
author = {Rhea Sanjay Sukthanker and Arjun Krishnakumar and Sharat Patil and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Mallik, Neeratyoy; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Bergman, Eddie; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: HyperBand + Human Expert Knowledge Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{mallik-neurips22a,
title = {PriorBand: HyperBand + Human Expert Knowledge},
author = {Neeratyoy Mallik and Carl Hvarfner and Danny Stoll and Maciej Janowski and Eddie Bergman and Marius Lindauer and Luigi Nardi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Proceedings Article In: Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Proceedings Article In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{shala2022transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Hutter, Frank c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization Proceedings Article In: NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022. @inproceedings{watanabe2022cTPE,
title = {c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization},
author = {Shuhei Watanabe and Frank Hutter},
year = {2022},
booktitle = {NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems},
keywords = {}
}
|
2021
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Gijsbers, Pieter; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Proceedings Article In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. @inproceedings{bischl-neurips21a,
title = {OpenML Benchmarking Suites },
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Pieter Gijsbers and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2021},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning Proceedings Article In: Workshop on Ecological Theory of Reinforcement Learning (EcoRL@NeurIPS'21), 2021. @inproceedings{benjamins-arxiv21a,
title = {CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Workshop on Ecological Theory of Reinforcement Learning (EcoRL@NeurIPS'21)},
journal = {arXiv:2110.02102},
keywords = {}
}
|
Eggensperger, Katharina; Müller, Philipp; Mallik, Neeratyoy; Feurer, Matthias; Sass, René; Klein, Aaron; Awad, Noor; Lindauer, Marius; Hutter, Frank HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Proceedings Article In: Vanschoren, J.; Yeung, S. (Ed.): Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. @inproceedings{eggensperger-neuripsdbt21,
title = {HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO},
author = {Katharina Eggensperger and Philipp Müller and Neeratyoy Mallik and Matthias Feurer and René Sass and Aaron Klein and Noor Awad and Marius Lindauer and Frank Hutter},
editor = {J. Vanschoren and S. Yeung},
year = {2021},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
journal = {arXiv:2109.06716},
volume = {1},
keywords = {}
}
|
Awad, Noor; Mallik, Neeratyoy; Hutter, Frank DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization Proceedings Article In: Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21), ijcai.org, 2021. @inproceedings{awad-ijcai21,
title = {DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization},
author = {Noor Awad and Neeratyoy Mallik and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21)},
publisher = {ijcai.org},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Reimer, Maximilian; Adriaensen, Steven; Hutter, Frank; Lindauer, Marius DACBench: A Benchmark Library for Dynamic Algorithm Configuration Proceedings Article In: Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21), ijcai.org, 2021. @inproceedings{eimer-ijcai21,
title = {DACBench: A Benchmark Library for Dynamic Algorithm Configuration},
author = {Theresa Eimer and André Biedenkapp and Maximilian Reimer and Steven Adriaensen and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21)},
publisher = {ijcai.org},
keywords = {}
}
|
Speck, David; Biedenkapp, André; Hutter, Frank; Mattmüller, Robert; Lindauer, Marius Learning Heuristic Selection with Dynamic Algorithm Configuration Proceedings Article In: Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21), 2021. @inproceedings{speck-icaps21,
title = {Learning Heuristic Selection with Dynamic Algorithm Configuration},
author = {David Speck and André Biedenkapp and Frank Hutter and Robert Mattmüller and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21)},
keywords = {}
}
|
Narayanan, Ashwin Raaghav; Zela, Arber; Saikia, Tonmoy; Brox, Thomas; Hutter, Frank Multi-headed Neural Ensemble Search Proceedings Article In: Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`21), 2021. @inproceedings{Narayanan2021b,
title = {Multi-headed Neural Ensemble Search},
author = {Ashwin Raaghav Narayanan and Arber Zela and Tonmoy Saikia and Thomas Brox and Frank Hutter},
year = {2021},
booktitle = {Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`21)},
keywords = {}
}
|
Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius TempoRL: Learning When to Act Proceedings Article In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021. @inproceedings{biedenkapp-icml21,
title = {TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML 2021)},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Hutter, Frank; Lindauer, Marius Self-Paced Context Evaluations for Contextual Reinforcement Learning Proceedings Article In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021. @inproceedings{eimer-icml21,
title = {Self-Paced Context Evaluations for Contextual Reinforcement Learning},
author = {Theresa Eimer and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML 2021)},
keywords = {}
}
|
Izquierdo, Sergio; Guerrero-Viu, Julia; Hauns, Sven; Miotto, Guilherme; Schrodi, Simon; Biedenkapp, André; Elsken, Thomas; Deng, Difan; Lindauer, Marius; Hutter, Frank Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Proceedings Article In: Workshop on Automated Machine Learning (AutoML@ICML'21), 2021. @inproceedings{viu-automlicml21a,
title = {Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization},
author = {Sergio Izquierdo and Julia Guerrero-Viu and Sven Hauns and Guilherme Miotto and Simon Schrodi and André Biedenkapp and Thomas Elsken and Difan Deng and Marius Lindauer and Frank Hutter},
year = {2021},
booktitle = {Workshop on Automated Machine Learning (AutoML@ICML'21)},
journal = {Workshop on Automated Machine Learning (AutoML@ICML'21)},
keywords = {}
}
|
Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: A Design and Debug Testbed for Reinforcement Learning Proceedings Article In: arXiv:1909.07750, 2021. @inproceedings{rajan-arxiv21,
title = {MDP Playground: A Design and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
year = {2021},
booktitle = {arXiv:1909.07750},
journal = {arXiv:1909.07750v4 [cs.LG]},
keywords = {}
}
|
Colin White Shen Yan, Yash Savani; Hutter, Frank NAS-Bench-x11 and the Power of Learning Curves Proceedings Article In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @inproceedings{yan2021nas,
title = {NAS-Bench-x11 and the Power of Learning Curves},
author = {Shen Yan, Colin White, Yash Savani and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
journal = {CVPR},
keywords = {}
}
|
Elsken, Thomas; Staffler, Benedikt; Zela, Arber; Metzen, Jan Hendrik; Hutter, Frank Bag of Tricks for Neural Architecture Search Journal Article In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @article{elsken2021bag,
title = {Bag of Tricks for Neural Architecture Search},
author = {Thomas Elsken and Benedikt Staffler and Arber Zela and Jan Hendrik Metzen and Frank Hutter},
year = {2021},
journal = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
keywords = {}
}
|
Chatzimichailidis, Avraam; Zela, Arber; Shalini, Shalini; Labus, Peter; Keuper, Janis; Hutter, Frank; Yang, Yang Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search Journal Article In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @article{chatzimichailidisgroup,
title = {Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search},
author = {Avraam Chatzimichailidis and Arber Zela and Shalini Shalini and Peter Labus and Janis Keuper and Frank Hutter and Yang Yang},
year = {2021},
journal = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
keywords = {}
}
|
Kadra, Arlind; Lindauer, Marius; Hutter, Frank; Grabocka, Josif Well-tuned Simple Nets Excel on Tabular Datasets Proceedings Article In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{kadra2021welltuned,
title = {Well-tuned Simple Nets Excel on Tabular Datasets},
author = {Arlind Kadra and Marius Lindauer and Frank Hutter and Josif Grabocka},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
White, Colin; Zela, Arber; Ru, Binxin; Liu, Yang; Hutter, Frank How Powerful are Performance Predictors in Neural Architecture Search? Proceedings Article In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{white2021how,
title = {How Powerful are Performance Predictors in Neural Architecture Search?},
author = {Colin White and Arber Zela and Binxin Ru and Yang Liu and Frank Hutter},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Zaidi, Sheheryar; Zela, Arber; Elsken, Thomas; Holmes, Christopher C.; Hutter, Frank; Teh, Yee Whye Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Proceedings Article In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{zaidi2021neural,
title = {Neural Ensemble Search for Uncertainty Estimation and Dataset Shift},
author = {Sheheryar Zaidi and Arber Zela and Thomas Elsken and Christopher C. Holmes and Frank Hutter and Yee Whye Teh},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Yan, Shen; White, Colin; Savani, Yash; Hutter, Frank NAS-Bench-x11 and the Power of Learning Curves Proceedings Article In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{yan2021nasbenchx,
title = {NAS-Bench-x11 and the Power of Learning Curves},
author = {Shen Yan and Colin White and Yash Savani and Frank Hutter},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Franke, Jörg K H; Köhler, Gregor; Biedenkapp, André; Hutter, Frank Sample-Efficient Automated Deep Reinforcement Learning Journal Article In: International Conference on Learning Representations (ICLR) 2021, 2021. @article{franke-iclr21a,
title = {Sample-Efficient Automated Deep Reinforcement Learning},
author = {Jörg K H Franke and Gregor Köhler and André Biedenkapp and Frank Hutter},
year = {2021},
booktitle = {International Conference on Learning Representations (ICLR) 2021},
journal = {International Conference on Learning Representations (ICLR) 2021},
keywords = {}
}
|
Siems, Julien; Klein, Aaron; Archambeau, Cedric; Mahsereci, Maren Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio Conference AutoML Workshop at ICML 2021, 2021. @conference{nokey,
title = {Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio },
author = {Julien Siems and Aaron Klein and Cedric Archambeau and Maren Mahsereci},
year = {2021},
booktitle = {AutoML Workshop at ICML 2021},
keywords = {}
}
|
Zhang, Baohe; Rajan, Raghu; Pineda, Luis; Lambert, Nathan; Biedenkapp, André; Chua, Kurtland; Hutter, Frank; Calandra, Roberto On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Proceedings Article In: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21, 2021. @inproceedings{zhang-aistats21,
title = {On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning},
author = {Baohe Zhang and Raghu Rajan and Luis Pineda and Nathan Lambert and André Biedenkapp and Kurtland Chua and Frank Hutter and Roberto Calandra},
year = {2021},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21},
keywords = {}
}
|
Müller, Samuel; Hutter, Frank TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Proceedings Article In: ICCV, 2021, (Oral Presentation (Top 3%)). @inproceedings{mueller-arxiv21a,
title = {TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation},
author = {Samuel Müller and Frank Hutter},
year = {2021},
booktitle = {ICCV},
journal = {arXiv:2103.10158 [cs.CV]},
keywords = {}
}
|
Ferreira, Fabio; Nierhoff, Thomas; Hutter, Frank Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies Journal Article In: AAAI workshop on Meta-Learning Challenges, 2021. @article{ferreira-metalearn21a,
title = {Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies},
author = {Fabio Ferreira and Thomas Nierhoff and Frank Hutter},
year = {2021},
booktitle = {AAAI workshop on Meta-Learning Challenges},
journal = {AAAI workshop on Meta-Learning Challenges},
keywords = {}
}
|
Müller, Samuel; Biedenkapp, André; Hutter, Frank In-Loop Meta-Learning with Gradient-Alignment Reward Proceedings Article In: AAAI workshop on Meta-Learning Challenges, 2021. @inproceedings{mueller-metalearn21a,
title = {In-Loop Meta-Learning with Gradient-Alignment Reward},
author = {Samuel Müller and André Biedenkapp and Frank Hutter},
year = {2021},
booktitle = {AAAI workshop on Meta-Learning Challenges},
journal = {AAAI workshop on Meta-Learning Challenges},
keywords = {}
}
|
Feurer, Matthias; van Rijn, Jan N; Kadra, Arlind; Gijsbers, Pieter; Mallik, Neeratyoy; Ravi, Sahithya; Müller, Andreas; Vanschoren, Joaquin; Hutter, Frank OpenML-Python: an extensible Python API for OpenML Journal Article In: Journal of Machine Learning Research, vol. 22, no. 100, pp. 1-5, 2021. @article{feurer-jmlr21a,
title = {OpenML-Python: an extensible Python API for OpenML},
author = {Matthias Feurer and Jan N van Rijn and Arlind Kadra and Pieter Gijsbers and Neeratyoy Mallik and Sahithya Ravi and Andreas Müller and Joaquin Vanschoren and Frank Hutter},
year = {2021},
journal = {Journal of Machine Learning Research},
volume = {22},
number = {100},
pages = {1-5},
keywords = {}
}
|
Zimmer, Lucas; Lindauer, Marius; Hutter, Frank Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Journal Article In: IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1, 2021. @article{9382913,
title = {Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL},
author = {Lucas Zimmer and Marius Lindauer and Frank Hutter},
doi = {10.1109/TPAMI.2021.3067763},
year = {2021},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
pages = {1-1},
keywords = {}
}
|
Souza, Artur; Nardi, Luigi; Oliveira, Leonardo; Olukotun, Kunle; Lindauer, Marius; Hutter, Frank Bayesian Optimization with a Prior for the Optimum Proceedings Article In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021. @inproceedings{SouNar2021a,
title = {Bayesian Optimization with a Prior for the Optimum},
author = {Artur Souza and Luigi Nardi and Leonardo Oliveira and Kunle Olukotun and Marius Lindauer and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
keywords = {}
}
|
2020
|
Awad, Noor; Shala, Gresa; Deng, Difan; Mallik, Neeratyoy; Feurer, Matthias; Eggensperger, Katharina; Biedenkapp, André; Vermetten, Diederick; Wang, Hao; Doerr, Carola; Lindauer, Marius; Hutter, Frank Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge Journal Article In: arXiv:2012.08180 [cs.LG], 2020, (Optimizer description for the NeurIPS 2020 BBO
competition.
Squirrel won the competition´s warm-starting friendly
leaderboard.). @article{awad-arxiv20a,
title = {Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge},
author = {Noor Awad and Gresa Shala and Difan Deng and Neeratyoy Mallik and Matthias Feurer and Katharina Eggensperger and André Biedenkapp and Diederick Vermetten and Hao Wang and Carola Doerr and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2012.08180 [cs.LG]},
keywords = {}
}
|
Lindauer, Marius; Hutter, Frank Best Practices for Scientific Research on Neural Architecture Search Journal Article In: Journal of Machine Learning Research, vol. 21, no. 243, pp. 1-18, 2020. @article{lindauer-jmlr20a,
title = {Best Practices for Scientific Research on Neural Architecture Search},
author = {Marius Lindauer and Frank Hutter},
year = {2020},
journal = {Journal of Machine Learning Research},
volume = {21},
number = {243},
pages = {1-18},
keywords = {}
}
|
Liu, Zhengying; Pavao, Adrien; Xu, Zhen; Escalera, Sergio; Ferreira, Fabio; Guyon, Isabelle; Hong, Sirui; Hutter, Frank; Ji, Rongrong; Junior, Julio C S Jacques; Li, Ge; Lindauer, Marius; Luo, Zhipeng; Madadi, Meysam; Nierhoff, Thomas; Niu, Kangning; Pan, Chunguang; Stoll, Danny; Treguer, Sebastien; Wang, Jin; Wang, Peng; Wu, Chenglin; Xiong, Youcheng; Zela, Arber; Zhang, Yang Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019 Journal Article In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3108-3125, 2020. @article{Liu20,
title = {Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019},
author = {Zhengying Liu and Adrien Pavao and Zhen Xu and Sergio Escalera and Fabio Ferreira and Isabelle Guyon and Sirui Hong and Frank Hutter and Rongrong Ji and Julio C S Jacques Junior and Ge Li and Marius Lindauer and Zhipeng Luo and Meysam Madadi and Thomas Nierhoff and Kangning Niu and Chunguang Pan and Danny Stoll and Sebastien Treguer and Jin Wang and Peng Wang and Chenglin Wu and Youcheng Xiong and Arber Zela and Yang Zhang},
doi = {10.1109/TPAMI.2021.3075372},
year = {2020},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {43},
number = {9},
pages = {3108-3125},
keywords = {}
}
|
Lukasik, Jovita; Friede, David; Zela, Arber; Stuckenschmidt, Heiner; Hutter, Frank; Keuper, Margret Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Journal Article In: arXiv:2010.04683 [cs.LG], 2020. @article{lukasik20,
title = {Smooth Variational Graph Embeddings for Efficient Neural Architecture Search},
author = {Jovita Lukasik and David Friede and Arber Zela and Heiner Stuckenschmidt and Frank Hutter and Margret Keuper},
year = {2020},
journal = {arXiv:2010.04683 [cs.LG]},
keywords = {}
}
|
Siems, Julien; Zimmer, Lucas; Zela, Arber; Lukasik, Jovita; Keuper, Margret; Hutter, Frank NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{siems20,
title = {NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search},
author = {Julien Siems and Lucas Zimmer and Arber Zela and Jovita Lukasik and Margret Keuper and Frank Hutter},
year = {2020},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Souza, Artur; Nardi, Luigi; Oliveira, Leonardo B; Olukotun, Kunle; Lindauer, Marius; Hutter, Frank Prior-guided Bayesian Optimization Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{souza-nipswml20a,
title = {Prior-guided Bayesian Optimization},
author = {Artur Souza and Luigi Nardi and Leonardo B Oliveira and Kunle Olukotun and Marius Lindauer and Frank Hutter},
year = {2020},
booktitle = {NeurIPS 4th Workshop on Meta-Learning},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Speck, David; Biedenkapp, André; Hutter, Frank; Mattmüller, Robert; Lindauer, Marius Learning Heuristic Selection with Dynamic Algorithm Configuration Proceedings Article In: Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ICAPS'20), 2020. @inproceedings{speck-prl20,
title = {Learning Heuristic Selection with Dynamic Algorithm Configuration},
author = {David Speck and André Biedenkapp and Frank Hutter and Robert Mattmüller and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ICAPS'20)},
keywords = {}
}
|
Stoll, Danny; Franke, Jörg K H; Wagner, Diane; Selg, Simon; Hutter, Frank Hyperparameter Transfer Across Developer Adjustments Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{stoll2020,
title = {Hyperparameter Transfer Across Developer Adjustments},
author = {Danny Stoll and Jörg K H Franke and Diane Wagner and Simon Selg and Frank Hutter},
year = {2020},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Eggensperger, Katharina; Haase, Kai; Müller, Philipp; Lindauer, Marius; Hutter, Frank Neural Model-based Optimization with Right-Censored Observations Journal Article In: arXiv:2009:13828 [cs.AI], 2020. @article{eggensperger-arxiv20a,
title = {Neural Model-based Optimization with Right-Censored Observations},
author = {Katharina Eggensperger and Kai Haase and Philipp Müller and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2009:13828 [cs.AI]},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Awad, Noor; Adriaensen, Steven; Lindauer, Marius; Hutter, Frank Learning Step-Size Adaptation in CMA-ES Proceedings Article In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20), 2020. @inproceedings{shala-ppsn20,
title = {Learning Step-Size Adaptation in CMA-ES},
author = {Gresa Shala and André Biedenkapp and Noor Awad and Steven Adriaensen and Marius Lindauer and Frank Hutter},
year = {2020},
booktitle = {Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20)},
keywords = {}
}
|
Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius Towards TempoRL: Learning When to Act Proceedings Article In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20), 2020. @inproceedings{biedenkapp-bigicml20,
title = {Towards TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Hutter, Frank; Lindauer, Marius Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning Proceedings Article In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20), 2020. @inproceedings{eimer-bigicml20,
title = {Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning},
author = {Theresa Eimer and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)},
keywords = {}
}
|
Biedenkapp, André; Bozkurt, Furkan H; Eimer, Theresa; Hutter, Frank; Lindauer, Marius Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework Proceedings Article In: Proceedings of the Twenty-fourth European Conference on Artificial Intelligence (ECAI'20), 2020. @inproceedings{biedenkapp-ecai20,
title = {Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework},
author = {André Biedenkapp and Furkan H Bozkurt and Theresa Eimer and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Proceedings of the Twenty-fourth European Conference on Artificial Intelligence (ECAI'20)},
keywords = {}
}
|
Elsken, Thomas; Staffler, Benedikt; Metzen, Jan Hendrik; Hutter, Frank Meta-Learning of Neural Architectures for Few-Shot Learning Proceedings Article In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, (Oral Presentation (Top 6%)). @inproceedings{Elsken_2020_CVPR,
title = {Meta-Learning of Neural Architectures for Few-Shot Learning},
author = {Thomas Elsken and Benedikt Staffler and Jan Hendrik Metzen and Frank Hutter},
year = {2020},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {}
}
|
Gargiani, Matilde; Zanelli, Andrea; Diehl, Moritz; Hutter, Frank On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs Journal Article In: arXiv:2006.02409 [cs.LG], 2020. @article{gargiani-arxiv20a,
title = {On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs},
author = {Matilde Gargiani and Andrea Zanelli and Moritz Diehl and Frank Hutter},
year = {2020},
journal = {arXiv:2006.02409 [cs.LG]},
keywords = {}
}
|
Zaidi, Sheheryar; Zela, Arber; Elsken, Thomas; Holmes, Chris; Hutter, Frank; Teh, Yee Whye Neural Ensemble Search for Performant and Calibrated Predictions Journal Article In: Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`20), 2020, (Oral Presentation). @article{zaidi20,
title = {Neural Ensemble Search for Performant and Calibrated Predictions},
author = {Sheheryar Zaidi and Arber Zela and Thomas Elsken and Chris Holmes and Frank Hutter and Yee Whye Teh},
year = {2020},
journal = {Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`20)},
keywords = {}
}
|
Zimmer, Lucas; Lindauer, Marius; Hutter, Frank Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Journal Article In: arXiv:2006.13799 [cs.LG], 2020. @article{zimmer-arxiv20,
title = {Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL},
author = {Lucas Zimmer and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2006.13799 [cs.LG]},
keywords = {}
}
|
Lehman, J; Clune, J; Misevic, D; Adami, C; Beaulieu, J; Bentley, P J; Bernard, S; Beslon, G; Bryson, D M; Chrabaszcz, P; Cheney, N; Cully, A; Doncieux, S; Dyer, F C; Ellefsen, K O; Feldt, R; Fischer, S; Forrest, S; Frénoy, A; Gagné, C; Goff, Le L K; Grabowski, L M; Hodjat, B; Hutter, F; Keller, L; Knibbe, C; Krcah, P; Lenski, R E; Lipson, H; MacCurdy, R; Maestre, C; Miikkulainen, R; Mitri, S; Moriarty, D E; Mouret, J -B; Nguyen, A; Ofria, C; Parizeau, M; Parsons, D P; Pennock, R T; Punch, W F; Ray, T S; Schoenauer, M; Shulte, E; Sims, K; Stanley, K O; Taddei, F; Tarapore, D; Thibault, S; Weimer, W; Watson, R; Yosinksi, J The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Journal Article In: Artificial Life, vol. 26, no. 2, pp. 274-306, 2020. @article{DBLP:journals/corr/abs-1803-03453,
title = {The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities},
author = {J Lehman and J Clune and D Misevic and C Adami and J Beaulieu and P J Bentley and S Bernard and G Beslon and D M Bryson and P Chrabaszcz and N Cheney and A Cully and S Doncieux and F C Dyer and K O Ellefsen and R Feldt and S Fischer and S Forrest and A Frénoy and C Gagné and Le L K Goff and L M Grabowski and B Hodjat and F Hutter and L Keller and C Knibbe and P Krcah and R E Lenski and H Lipson and R MacCurdy and C Maestre and R Miikkulainen and S Mitri and D E Moriarty and J -B Mouret and A Nguyen and C Ofria and M Parizeau and D P Parsons and R T Pennock and W F Punch and T S Ray and M Schoenauer and E Shulte and K Sims and K O Stanley and F Taddei and D Tarapore and S Thibault and W Weimer and R Watson and J Yosinksi},
doi = {10.1162/artl_a_00319},
year = {2020},
journal = {Artificial Life},
volume = {26},
number = {2},
pages = {274-306},
keywords = {}
}
|
Awad, Noor; Mallik, Neeratyoy; Hutter, F Differential Evolution for Neural Architecture Search Proceedings Article In: Proceedings of the 1st workshop on neural architecture search(@ICLR'20), 2020. @inproceedings{awad-iclr20,
title = {Differential Evolution for Neural Architecture Search},
author = {Noor Awad and Neeratyoy Mallik and F Hutter},
year = {2020},
booktitle = {Proceedings of the 1st workshop on neural architecture search(@ICLR'20)},
keywords = {}
}
|
Gargiani, Matilde; Zanelli, Andrea; Tran-Dinh, Quoc; Diehl, Moritz; Hutter, Frank Transferring Optimally Across Data Distrutions via Homotopy Methods Proceedings Article In: International Conference on Learning Representations, 2020. @inproceedings{Gargiani2020TransferringOptimally,
title = {Transferring Optimally Across Data Distrutions via Homotopy Methods},
author = {Matilde Gargiani and Andrea Zanelli and Quoc Tran-Dinh and Moritz Diehl and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Schirrmeister, Robin; Zhou, Yuxuan; Ball, Tonio; Zhang, Dan Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features Proceedings Article In: Larochelle, H; Ranzato, M; Hadsell, R; Balcan, M F; Lin, H (Ed.): Advances in Neural Information Processing Systems, pp. 21038–21049, Curran Associates, Inc., 2020. @inproceedings{schirrmeister2020,
title = {Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features},
author = {Robin Schirrmeister and Yuxuan Zhou and Tonio Ball and Dan Zhang},
editor = {H Larochelle and M Ranzato and R Hadsell and M F Balcan and H Lin},
year = {2020},
booktitle = {Advances in Neural Information Processing Systems},
volume = {33},
pages = {21038--21049},
publisher = {Curran Associates, Inc.},
keywords = {}
}
|
Schorn, Christoph; Elsken, Thomas; Vogel, Sebastian; Runge, Armin; Guntoro, Andre; Ascheid, Gerd Automated design of error-resilient and hardware-efficient deep neural networks Journal Article In: Neural Computing and Applications, pp. 1 - 19, 2020. @article{Schorn2020AutomatedDO,
title = {Automated design of error-resilient and hardware-efficient deep neural networks},
author = {Christoph Schorn and Thomas Elsken and Sebastian Vogel and Armin Runge and Andre Guntoro and Gerd Ascheid},
year = {2020},
journal = {Neural Computing and Applications},
pages = {1 - 19},
keywords = {}
}
|
Tomašev, Nenad; Cornebise, Julien; Hutter, Frank; Mohamed, Shakir; Khan, Mohammad Emtiyaz; Winne, Ruben De; Schaul, Tom; Clopath, Claudia AI for social good: unlocking the opportunity for positive impact Journal Article In: Nature Communications, vol. 11, no. 1, 2020. @article{tomavsev2020ai,
title = {AI for social good: unlocking the opportunity for positive impact},
author = {Nenad Tomašev and Julien Cornebise and Frank Hutter and Shakir Mohamed and Mohammad Emtiyaz Khan and Ruben De Winne and Tom Schaul and Claudia Clopath},
year = {2020},
journal = {Nature Communications},
volume = {11},
number = {1},
publisher = {Nature Publishing Group},
keywords = {}
}
|
Volpp, Michael; Fröhlich, Lukas P; Fischer, Kirsten; Doerr, Andreas; Falkner, Stefan; Hutter, Frank; Daniel, Christian Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Proceedings Article In: International Conference on Learning Representations, 2020. @inproceedings{Volpp2020Meta-Learning,
title = {Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization},
author = {Michael Volpp and Lukas P Fröhlich and Kirsten Fischer and Andreas Doerr and Stefan Falkner and Frank Hutter and Christian Daniel},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Zela, Arber; Siems, Julien; Hutter, Frank NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Proceedings Article In: International Conference on Learning Representations, 2020. @inproceedings{Zela2020NAS-Bench-1Shot1:,
title = {NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search},
author = {Arber Zela and Julien Siems and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Zela, Arber; Elsken, Thomas; Saikia, Tonmoy; Marrakchi, Yassine; Brox, Thomas; Hutter, Frank Understanding and Robustifying Differentiable Architecture Search Proceedings Article In: International Conference on Learning Representations, 2020, (Oral Presentation (Top 7%)). @inproceedings{Zela2020Understanding,
title = {Understanding and Robustifying Differentiable Architecture Search},
author = {Arber Zela and Thomas Elsken and Tonmoy Saikia and Yassine Marrakchi and Thomas Brox and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
2019
|
Rajan, Raghu; Hutter, Frank MDP Playground: Meta-Features in Reinforcement Learning Proceedings Article In: NeurIPS 2019 Deep RL Workshop, 2019. @inproceedings{rajan-neurips19,
title = {MDP Playground: Meta-Features in Reinforcement Learning},
author = {Raghu Rajan and Frank Hutter},
year = {2019},
booktitle = {NeurIPS 2019 Deep RL Workshop},
keywords = {}
}
|
Zimmermann, Roland; Siems, Julien Faster training of Mask R-CNN by focusing on instance boundaries Journal Article In: Computer Vision and Image Understanding, 2019. @article{nokey,
title = {Faster training of Mask R-CNN by focusing on instance boundaries},
author = {Roland Zimmermann and Julien Siems},
year = {2019},
journal = {Computer Vision and Image Understanding},
keywords = {}
}
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Journal Article In: arXiv, vol. 1708.0373v2, pp. 1-6, 2019. @article{bischl-arxiv19a,
title = {OpenML Benchmarking Suites},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2019},
journal = {arXiv},
volume = {1708.0373v2},
pages = {1-6},
keywords = {}
}
|
Biedenkapp, André; Bozkurt, Furkan H; Hutter, Frank; Lindauer, Marius Towards White-box Benchmarks for Algorithm Control Proceedings Article In: IJCAI 2019 DSO Workshop, 2019. @inproceedings{biedenkapp-dso19,
title = {Towards White-box Benchmarks for Algorithm Control},
author = {André Biedenkapp and Furkan H Bozkurt and Frank Hutter and Marius Lindauer},
year = {2019},
booktitle = {IJCAI 2019 DSO Workshop},
keywords = {}
}
|
Fuks, L; Awad, Noor; Hutter, F; Lindauer, M An Evolution Strategy with Progressive Episode Lengths for Playing Games Proceedings Article In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19), 2019. @inproceedings{fuks-ijcai19a,
title = {An Evolution Strategy with Progressive Episode Lengths for Playing Games},
author = {L Fuks and Noor Awad and F Hutter and M Lindauer},
year = {2019},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19)},
keywords = {}
}
|
Lindauer, Marius; Eggensperger, Katharina; Feurer, Matthias; Biedenkapp, André; Marben, Joshua; Müller, Philipp; Hutter, Frank BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters Journal Article In: arXiv:1908.06756 [cs.LG], 2019. @article{lindauer-arxiv19,
title = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
author = {Marius Lindauer and Katharina Eggensperger and Matthias Feurer and André Biedenkapp and Joshua Marben and Philipp Müller and Frank Hutter},
year = {2019},
journal = {arXiv:1908.06756 [cs.LG]},
keywords = {}
}
|
Lindauer, Marius; Feurer, Matthias; Eggensperger, Katharina; Biedenkapp, André; Hutter, Frank Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Proceedings Article In: IJCAI 2019 DSO Workshop, 2019. @inproceedings{lindauer-dso19,
title = {Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters},
author = {Marius Lindauer and Matthias Feurer and Katharina Eggensperger and André Biedenkapp and Frank Hutter},
year = {2019},
booktitle = {IJCAI 2019 DSO Workshop},
keywords = {}
}
|
Gargiani, M; Klein, A; Falkner, S; Hutter, F Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings Proceedings Article In: 6th ICML Workshop on Automated Machine Learning, 2019. @inproceedings{Gargiani6automl,
title = {Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings},
author = {M Gargiani and A Klein and S Falkner and F Hutter},
year = {2019},
booktitle = {6th ICML Workshop on Automated Machine Learning},
keywords = {}
}
|
Feurer, Matthias; Hutter, Frank Hyperparameter Optimization Book Section In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Sytems, Challenges, pp. 3–33, Springer, 2019. @incollection{feurer-automlbook19a,
title = {Hyperparameter Optimization},
author = {Matthias Feurer and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
booktitle = {AutoML: Methods, Sytems, Challenges},
pages = {3--33},
publisher = {Springer},
chapter = {1},
keywords = {}
}
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost; Blum, Manuel; Hutter, Frank Auto-sklearn: Efficient and Robust Automated Machine Learning Book Section In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Systems, Challenges, pp. 113–134, Springer, 2019. @incollection{feurer-automlbook19b,
title = {Auto-sklearn: Efficient and Robust Automated Machine Learning},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Springenberg and Manuel Blum and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
doi = {10.1007/978-3-030-05318-5_6},
year = {2019},
booktitle = {AutoML: Methods, Systems, Challenges},
pages = {113--134},
publisher = {Springer},
chapter = {6},
keywords = {}
}
|
Mendoza, Hector; Klein, Aaron; Feurer, Matthias; Springenberg, Jost Tobias; Urban, Matthias; Burkart, Michael; Dippel, Max; Lindauer, Marius; Hutter, Frank Towards Automatically-Tuned Deep Neural Networks Book Section In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Sytems, Challenges, pp. 135–149, Springer, 2019. @incollection{mendoza-automlbook19a,
title = {Towards Automatically-Tuned Deep Neural Networks},
author = {Hector Mendoza and Aaron Klein and Matthias Feurer and Jost Tobias Springenberg and Matthias Urban and Michael Burkart and Max Dippel and Marius Lindauer and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
booktitle = {AutoML: Methods, Sytems, Challenges},
pages = {135--149},
publisher = {Springer},
chapter = {7},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Neural Architecture Search: A Survey Journal Article In: Journal of Machine Learning Research, vol. 20, no. 55, pp. 1-21, 2019. @article{elsken-jmlr19a,
title = {Neural Architecture Search: A Survey},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2019},
journal = {Journal of Machine Learning Research},
volume = {20},
number = {55},
pages = {1-21},
keywords = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank Pitfalls and Best Practices in Algorithm Configuration Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 64, pp. 861–893, 2019. @article{eggensperger-jair19a,
title = {Pitfalls and Best Practices in Algorithm Configuration},
author = {Katharina Eggensperger and Marius Lindauer and Frank Hutter},
year = {2019},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {64},
pages = {861--893},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Proceedings Article In: International Conference on Learning Representations, 2019. @inproceedings{elsken2019efficient,
title = {Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Franke, Jörg KH; Köhler, Gregor; Awad, Noor; Hutter, Frank Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control Journal Article In: NeurIPS 2019 Workshop on Meta-Learning, 2019. @article{franke2019neural,
title = {Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control},
author = {Jörg KH Franke and Gregor Köhler and Noor Awad and Frank Hutter},
year = {2019},
journal = {NeurIPS 2019 Workshop on Meta-Learning},
keywords = {}
}
|
Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.) Automated Machine Learning - Methods, Systems, Challenges Book Springer, 2019. @book{hutter2019automated,
title = {Automated Machine Learning - Methods, Systems, Challenges},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
publisher = {Springer},
keywords = {}
}
|
Loshchilov, Ilya; Hutter, Frank Decoupled Weight Decay Regularization Proceedings Article In: International Conference on Learning Representations, 2019. @inproceedings{loshchilov2019decoupled,
title = {Decoupled Weight Decay Regularization},
author = {Ilya Loshchilov and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Klein, Aaron; Dai, Zhenwen; Hutter, Frank; Lawrence, Neil; Gonzalez, Javier Meta-Surrogate Benchmarking for Hyperparameter Optimization Book Section In: Wallach, H; Larochelle, H; Beygelzimer, A; d' Alché-Buc, F; Fox, E; Garnett, R (Ed.): Advances in Neural Information Processing Systems 32, pp. 6270–6280, Curran Associates, Inc., 2019. @incollection{NIPS2019_8857,
title = {Meta-Surrogate Benchmarking for Hyperparameter Optimization},
author = {Aaron Klein and Zhenwen Dai and Frank Hutter and Neil Lawrence and Javier Gonzalez},
editor = {H Wallach and H Larochelle and A Beygelzimer and F d' Alché-Buc and E Fox and R Garnett},
year = {2019},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {6270--6280},
publisher = {Curran Associates, Inc.},
keywords = {}
}
|
Runge, Frederic; Stoll, Danny; Falkner, Stefan; Hutter, Frank Learning to Design RNA Proceedings Article In: International Conference on Learning Representations, 2019. @inproceedings{runge2019learning,
title = {Learning to Design RNA},
author = {Frederic Runge and Danny Stoll and Stefan Falkner and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Saikia, T; Marrakchi, Y; Zela, A; Hutter, F; Brox, T AutoDispNet: Improving Disparity Estimation With AutoML Proceedings Article In: IEEE International Conference on Computer Vision (ICCV), 2019. @inproceedings{saikia19autodispnet,
title = {AutoDispNet: Improving Disparity Estimation With AutoML},
author = {T Saikia and Y Marrakchi and A Zela and F Hutter and T Brox},
year = {2019},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {}
}
|
Ying, Chris; Klein, Aaron; Real, Esteban; Christiansen, Eric; Murphy, Kevin; Hutter, Frank Nas-bench-101: Towards reproducible neural architecture search Proceedings Article In: Thirty-sixth International Conference on Machine Learning, 2019. @inproceedings{ying2019bench,
title = {Nas-bench-101: Towards reproducible neural architecture search},
author = {Chris Ying and Aaron Klein and Esteban Real and Eric Christiansen and Kevin Murphy and Frank Hutter},
year = {2019},
booktitle = {Thirty-sixth International Conference on Machine Learning},
keywords = {}
}
|
2018
|
Lindauer, M; van Rijn, J N; Kotthoff, L The Algorithm Selection Competitions 2015 and 2017 Journal Article In: Artificial Intelligence, pp. 1-35, 2018. @article{lindauer-ascomp-aij18a,
title = {The Algorithm Selection Competitions 2015 and 2017},
author = {M Lindauer and J N van Rijn and L Kotthoff},
year = {2018},
journal = {Artificial Intelligence},
pages = {1-35},
keywords = {}
}
|
Chrabąszcz, Patryk; Loshchilov, Ilya; Hutter, Frank Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari Proceedings Article In: Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, IJCAI-18, pp. 1419–1426, International Joint Conferences on Artificial Intelligence Organization, 2018. @inproceedings{chrabaszcz-ijcai18a,
title = {Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari},
author = {Patryk Chrabąszcz and Ilya Loshchilov and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, IJCAI-18},
pages = {1419--1426},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
keywords = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank Neural Networks for Predicting Algorithm Runtime Distributions Proceedings Article In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’18), pp. 1442-1448, 2018. @inproceedings{eggensperger-ijcai18a,
title = {Neural Networks for Predicting Algorithm Runtime Distributions},
author = {Katharina Eggensperger and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’18)},
pages = {1442-1448},
keywords = {}
}
|
Falkner, Stefan; Klein, Aaron; Hutter, Frank BOHB: Robust and Efficient Hyperparameter Optimization at Scale Proceedings Article In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018), pp. 1436–1445, 2018. @inproceedings{falkner-icml-18,
title = {BOHB: Robust and Efficient Hyperparameter Optimization at Scale},
author = {Stefan Falkner and Aaron Klein and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML 2018)},
pages = {1436--1445},
keywords = {}
}
|
Feurer, M; Hutter, F Towards Further Automation in AutoML Proceedings Article In: ICML 2018 AutoML Workshop, 2018. @inproceedings{feurer-automl18a,
title = {Towards Further Automation in AutoML},
author = {M Feurer and F Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank Practical Automated Machine Learning for the AutoML Challenge 2018 Proceedings Article In: ICML 2018 AutoML Workshop, 2018. @inproceedings{feurer-automl18b,
title = {Practical Automated Machine Learning for the AutoML Challenge 2018},
author = {Matthias Feurer and Katharina Eggensperger and Stefan Falkner and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Feurer, Matthias; Letham, Benjamin; Bakshy, Eytan Scalable Meta-Learning for Bayesian Optimization using Ranking-Weighted Gaussian Process Ensembles Proceedings Article In: ICML 2018 AutoML Workshop, 2018, (This publication is superseded by the 2022 arXiv preprint Practical Transfer Learning for Bayesian Optimization.). @inproceedings{feurer-automl18c,
title = {Scalable Meta-Learning for Bayesian Optimization using Ranking-Weighted Gaussian Process Ensembles},
author = {Matthias Feurer and Benjamin Letham and Eytan Bakshy},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Schirrmeister, R; Chrabąszcz, P; Hutter, F; Ball, T Training Generative Reversible Networks Proceedings Article In: ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018. @inproceedings{schirrmeister_revnets18,
title = {Training Generative Reversible Networks},
author = {R Schirrmeister and P Chrabąszcz and F Hutter and T Ball},
year = {2018},
booktitle = {ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models},
keywords = {}
}
|
Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Proceedings Article In: ICML 2018 AutoML Workshop, 2018. @inproceedings{zela-automl18,
title = {Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search},
author = {Arber Zela and Aaron Klein and Stefan Falkner and Frank Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Biedenkapp, André; Marben, Joshua; Lindauer, Marius; Hutter, Frank CAVE: Configuration Assessment, Visualization and Evaluation Proceedings Article In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18), 2018. @inproceedings{biedenkapp-lion18a,
title = {CAVE: Configuration Assessment, Visualization and Evaluation},
author = {André Biedenkapp and Joshua Marben and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18)},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution Journal Article In: ArXiv e-prints, vol. 1804.09081, 2018. @article{elsken-nas-arxiv18a,
title = {Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2018},
journal = {ArXiv e-prints},
volume = {1804.09081},
keywords = {}
}
|
Ilg, Eddy; Cicek, Oezguen; Galesso, Silvio; Klein, Aaron; Makansi, Osama; Hutter, Frank; Brox, Thomas Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks Journal Article In: Proceedings of ECCV 2018, 2018. @article{ilg-arxiv18a,
title = {Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks},
author = {Eddy Ilg and Oezguen Cicek and Silvio Galesso and Aaron Klein and Osama Makansi and Frank Hutter and Thomas Brox},
year = {2018},
journal = {Proceedings of ECCV 2018},
keywords = {}
}
|
Lindauer, M; Hutter, F Warmstarting of Model-based Algorithm Configuration Proceedings Article In: Proceedings of the AAAI conference, pp. 1355–1362, 2018. @inproceedings{lindauer-aaai18a,
title = {Warmstarting of Model-based Algorithm Configuration},
author = {M Lindauer and F Hutter},
year = {2018},
booktitle = {Proceedings of the AAAI conference},
pages = {1355--1362},
keywords = {}
}
|
Abdulrahman, S M; Brazdil, P; van Rijn, J N; Vanschoren, J Speeding up algorithm selection using average ranking and active testing by introducing runtime Proceedings Article In: Machine Learning, pp. 79–108, 2018. @inproceedings{abdulrahman-mlj-2018,
title = {Speeding up algorithm selection using average ranking and active testing by introducing runtime},
author = {S M Abdulrahman and P Brazdil and J N van Rijn and J Vanschoren},
year = {2018},
booktitle = {Machine Learning},
volume = {107},
pages = {79--108},
keywords = {}
}
|
Bandi, Peter; Geessink, Oscar; Manson, Quirine; Dijk, Marcory Van; Balkenhol, Maschenka; Hermsen, Meyke; Bejnordi, Babak Ehteshami; Lee, Byungjae; Paeng, Kyunghyun; Zhong, Aoxiao; Franke, Jörg; Both, Fabian; others, From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge Journal Article In: IEEE transactions on medical imaging, vol. 38, no. 2, pp. 550–560, 2018. @article{bandi2018detection,
title = {From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge},
author = {Peter Bandi and Oscar Geessink and Quirine Manson and Marcory Van Dijk and Maschenka Balkenhol and Meyke Hermsen and Babak Ehteshami Bejnordi and Byungjae Lee and Kyunghyun Paeng and Aoxiao Zhong and Jörg Franke and Fabian Both and others},
year = {2018},
journal = {IEEE transactions on medical imaging},
volume = {38},
number = {2},
pages = {550--560},
publisher = {IEEE},
keywords = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H; Hutter, Frank; Leyton-Brown, Kevin Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates Journal Article In: Machine Learning, vol. 107, pp. 15-41, 2018. @article{eggensperger-ml18a,
title = {Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates},
author = {Katharina Eggensperger and Marius Lindauer and Holger H Hoos and Frank Hutter and Kevin Leyton-Brown},
year = {2018},
journal = {Machine Learning},
volume = {107},
pages = {15-41},
keywords = {}
}
|
Franke, Jörg; Niehues, Jan; Waibel, Alex Robust and Scalable Differentiable Neural Computer for Question Answering Proceedings Article In: Proceedings of the Workshop on Machine Reading for Question Answering, pp. 47–59, 2018. @inproceedings{franke2018robust,
title = {Robust and Scalable Differentiable Neural Computer for Question Answering},
author = {Jörg Franke and Jan Niehues and Alex Waibel},
year = {2018},
booktitle = {Proceedings of the Workshop on Machine Reading for Question Answering},
pages = {47--59},
keywords = {}
}
|
van Rijn, J N; Hutter, F Hyperparameter Importance Across Datasets Journal Article In: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018. @article{Rijn-Arxiv2017,
title = {Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2018},
journal = {SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)},
keywords = {}
}
|
van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J The online performance estimation framework: heterogeneous ensemble learning for data streams Proceedings Article In: Machine Learning, pp. 149–176, 2018. @inproceedings{rijn-mlj2018,
title = {The online performance estimation framework: heterogeneous ensemble learning for data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2018},
booktitle = {Machine Learning},
volume = {107},
pages = {149--176},
keywords = {}
}
|
Wilson, James; Hutter, Frank; Deisenroth, Marc Maximizing acquisition functions for Bayesian optimization Proceedings Article In: Bengio, S; Wallach, H; Larochelle, H; Grauman, K; Cesa-Bianchi, N; Garnett, R (Ed.): Advances in Neural Information Processing Systems 31, pp. 9906–9917, Curran Associates, Inc., 2018. @inproceedings{wilson-nips2018,
title = {Maximizing acquisition functions for Bayesian optimization},
author = {James Wilson and Frank Hutter and Marc Deisenroth},
editor = {S Bengio and H Wallach and H Larochelle and K Grauman and N Cesa-Bianchi and R Garnett},
year = {2018},
booktitle = {Advances in Neural Information Processing Systems 31},
pages = {9906--9917},
publisher = {Curran Associates, Inc.},
keywords = {}
}
|
Wilson, Dennis; Rodrigues, Silvio; Segura, Carlos; Loshchilov, Ilya; Hutter, Frank; Buenfil, Guillermo López; Kheiri, Ahmed; Keedwell, Ed; Ocampo-Pineda, Mario; Özcan, Ender; Peña, Sergio Ivvan Valdez; Goldman, Brian; Rionda, Salvador Botello; Hernández-Aguirre, Arturo; Veeramachaneni, Kalyan; Cussat-Blanc, Sylvain Evolutionary computation for wind farm layout optimization Journal Article In: Renewable Energy, vol. 126, pp. 681 - 691, 2018, ISSN: 0960-1481. @article{WILSON2018681,
title = {Evolutionary computation for wind farm layout optimization},
author = {Dennis Wilson and Silvio Rodrigues and Carlos Segura and Ilya Loshchilov and Frank Hutter and Guillermo López Buenfil and Ahmed Kheiri and Ed Keedwell and Mario Ocampo-Pineda and Ender Özcan and Sergio Ivvan Valdez Peña and Brian Goldman and Salvador Botello Rionda and Arturo Hernández-Aguirre and Kalyan Veeramachaneni and Sylvain Cussat-Blanc},
doi = {https://doi.org/10.1016/j.renene.2018.03.052},
year = {2018},
issn = {0960-1481},
journal = {Renewable Energy},
volume = {126},
pages = {681 - 691},
keywords = {}
}
|
2017
|
Martinez-Cantin, Ruben; Tee, Kevin; McCourt, Mike; Eggensperger, Katharina Filtering Outliers in Bayesian Optimization Proceedings Article In: NeuriPS workshop on Bayesian Optimization (BayesOpt'17), 2017. @inproceedings{Cantin-BayesOpt17,
title = {Filtering Outliers in Bayesian Optimization},
author = {Ruben Martinez-Cantin and Kevin Tee and Mike McCourt and Katharina Eggensperger},
year = {2017},
booktitle = {NeuriPS workshop on Bayesian Optimization (BayesOpt'17)},
keywords = {}
}
|
Falkner, S; Klein, A; Hutter, F Combining Hyperband and Bayesian Optimization Proceedings Article In: NIPS 2017 Bayesian Optimization Workshop, 2017. @inproceedings{falkner-bayesopt17,
title = {Combining Hyperband and Bayesian Optimization},
author = {S Falkner and A Klein and F Hutter},
year = {2017},
booktitle = {NIPS 2017 Bayesian Optimization Workshop},
keywords = {}
}
|
Klein, A; Falkner, S; Mansur, N; Hutter, F RoBO: A Flexible and Robust Bayesian Optimization Framework in Python Proceedings Article In: NIPS 2017 Bayesian Optimization Workshop, 2017. @inproceedings{klein-bayesopt17,
title = {RoBO: A Flexible and Robust Bayesian Optimization Framework in Python},
author = {A Klein and S Falkner and N Mansur and F Hutter},
year = {2017},
booktitle = {NIPS 2017 Bayesian Optimization Workshop},
keywords = {}
}
|
Lindauer, Marius; van Rijn, Jan N; Kotthoff, Lars Open Algorithm Selection Challenge 2017: Setup and Scenarios Proceedings Article In: Lindauer, Marius; van Rijn, Jan N; Kotthoff, Lars (Ed.): Proceedings of the Open Algorithm Selection Challenge, pp. 1–7, PMLR, Brussels, Belgium, 2017. @inproceedings{pmlr-v79-lindauer17a,
title = {Open Algorithm Selection Challenge 2017: Setup and Scenarios},
author = {Marius Lindauer and Jan N van Rijn and Lars Kotthoff},
editor = {Marius Lindauer and Jan N van Rijn and Lars Kotthoff},
year = {2017},
booktitle = {Proceedings of the Open Algorithm Selection Challenge},
volume = {79},
pages = {1--7},
publisher = {PMLR},
address = {Brussels, Belgium},
series = {Proceedings of Machine Learning Research},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Simple And Efficient Architecture Search for Convolutional Neural Networks Proceedings Article In: NIPS Workshop on Meta-Learning, 2017. @inproceedings{elsken_nas_mtl17a,
title = {Simple And Efficient Architecture Search for Convolutional Neural Networks},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2017},
booktitle = {NIPS Workshop on Meta-Learning},
keywords = {}
}
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites and the OpenML100 Journal Article In: arXiv, vol. 1708.0373v1, pp. 1-6, 2017. @article{bischl-arxiv17a,
title = {OpenML Benchmarking Suites and the OpenML100},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2017},
journal = {arXiv},
volume = {1708.0373v1},
pages = {1-6},
keywords = {}
}
|
Greff, K; Klein, A; Chovanec, M; Hutter, F; Schmidhuber, J The Sacred Infrastructure for Computational Research Proceedings Article In: Proceedings of the 15th Python in Science Conference (SciPy 2017), 2017. @inproceedings{greff-scipy17,
title = {The Sacred Infrastructure for Computational Research},
author = {K Greff and A Klein and M Chovanec and F Hutter and J Schmidhuber},
year = {2017},
booktitle = {Proceedings of the 15th Python in Science Conference (SciPy 2017)},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) Proceedings Article In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), 2017. @inproceedings{lindauer-ijcai17,
title = {AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract)},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2017},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17)},
keywords = {}
}
|
Klein, A; Falkner, S; Springenberg, J T; Hutter, F Learning Curve Prediction with Bayesian Neural Networks Proceedings Article In: International Conference on Learning Representations (ICLR) 2017 Conference Track, 2017. @inproceedings{klein-iclr17,
title = {Learning Curve Prediction with Bayesian Neural Networks},
author = {A Klein and S Falkner and J T Springenberg and F Hutter},
year = {2017},
booktitle = {International Conference on Learning Representations (ICLR) 2017 Conference Track},
keywords = {}
}
|
Loshchilov, I; Hutter, F SGDR: Stochastic Gradient Descent with Warm Restarts Proceedings Article In: International Conference on Learning Representations (ICLR) 2017 Conference Track, 2017. @inproceedings{loshchilov-ICLR17SGDR,
title = {SGDR: Stochastic Gradient Descent with Warm Restarts},
author = {I Loshchilov and F Hutter},
year = {2017},
booktitle = {International Conference on Learning Representations (ICLR) 2017 Conference Track},
keywords = {}
}
|
Lindauer, M; Hoos, H; Leyton-Brown, K; Schaub, T Automatic Construction of Parallel Portfolios via Algorithm Configuration Journal Article In: Artificial Intelligence Journal (AIJ), vol. 244, pp. 272-290, 2017. @article{lindauer-aij16,
title = {Automatic Construction of Parallel Portfolios via Algorithm Configuration},
author = {M Lindauer and H Hoos and K Leyton-Brown and T Schaub},
year = {2017},
journal = {Artificial Intelligence Journal (AIJ)},
volume = {244},
pages = {272-290},
keywords = {}
}
|
Wagner, M; Friedrich, T; Lindauer, M Improving local search in a minimum vertex cover solver for classes of networks Proceedings Article In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2017. @inproceedings{wagner-cec17a,
title = {Improving local search in a minimum vertex cover solver for classes of networks},
author = {M Wagner and T Friedrich and M Lindauer},
year = {2017},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
keywords = {}
}
|
Wagner, M; Lindauer, M; Misir, M; Nallaperuma, S; Hutter, F A case study of algorithm selection for the traveling thief problem Journal Article In: Journal of Heuristics, pp. 1-26, 2017. @article{wagner-joh17a,
title = {A case study of algorithm selection for the traveling thief problem},
author = {M Wagner and M Lindauer and M Misir and S Nallaperuma and F Hutter},
year = {2017},
journal = {Journal of Heuristics},
pages = {1-26},
keywords = {}
}
|
Biedenkapp, André; Lindauer, Marius; Eggensperger, Katharina; Fawcett, Chris; Hoos, Holger H; Hutter, Frank Efficient Parameter Importance Analysis via Ablation with Surrogates Proceedings Article In: Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI'17), pp. 773–779, 2017. @inproceedings{biedenkapp-aaai17a,
title = {Efficient Parameter Importance Analysis via Ablation with Surrogates},
author = {André Biedenkapp and Marius Lindauer and Katharina Eggensperger and Chris Fawcett and Holger H Hoos and Frank Hutter},
year = {2017},
booktitle = {Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI'17)},
pages = {773--779},
keywords = {}
}
|
Hutter, F; Lindauer, M; Balint, A; Bayless, S; Hoos, H; Leyton-Brown, K The Configurable SAT Solver Challenge (CSSC) Journal Article In: Artificial Intelligence Journal (AIJ), vol. 243, pp. 1-25, 2017. @article{hutter-aij17a,
title = {The Configurable SAT Solver Challenge (CSSC)},
author = {F Hutter and M Lindauer and A Balint and S Bayless and H Hoos and K Leyton-Brown},
year = {2017},
journal = {Artificial Intelligence Journal (AIJ)},
volume = {243},
pages = {1-25},
keywords = {}
}
|
Lindauer, M; Hutter, F Pitfalls and Best Practices for Algorithm Configuration (Breakout Session Report) Journal Article In: Dagstuhl Reports, vol. 6, pp. 70-72, 2017. @article{lindauer-dagstuhl17a,
title = {Pitfalls and Best Practices for Algorithm Configuration (Breakout Session Report)},
author = {M Lindauer and F Hutter},
year = {2017},
journal = {Dagstuhl Reports},
volume = {6},
pages = {70-72},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
keywords = {}
}
|
Lindauer, M; Kotthoff, L What can we learn from algorithm selection data? (Breakout Session Report) Journal Article In: Dagstuhl Reports, vol. 6, pp. 64-65, 2017. @article{lindauer-dagstuhl17b,
title = {What can we learn from algorithm selection data? (Breakout Session Report)},
author = {M Lindauer and L Kotthoff},
year = {2017},
journal = {Dagstuhl Reports},
volume = {6},
pages = {64-65},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
keywords = {}
}
|
Wilson, James T.; Moriconi, Riccardo; Hutter, Frank; Deisenroth, Marc P. The Reparameterization Trick for Acquisition Functions Proceedings Article In: NIPS Workshop on Bayesian Optimization, 2017. @inproceedings{Wilson2017,
title = {The Reparameterization Trick for Acquisition Functions},
author = {James T. Wilson and Riccardo Moriconi and Frank Hutter and Marc P. Deisenroth},
year = {2017},
booktitle = {NIPS Workshop on Bayesian Optimization},
keywords = {}
}
|
Chrabaszcz, Patryk; Loshchilov, Ilya; Hutter, Frank A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets Miscellaneous 2017. @misc{chrabaszcz2017downsampled,
title = {A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets},
author = {Patryk Chrabaszcz and Ilya Loshchilov and Frank Hutter},
year = {2017},
keywords = {}
}
|
Klein, A; Falkner, S; Bartels, S; Hennig, P; Hutter, F Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Proceedings Article In: Proceedings of the AISTATS conference, 2017. @inproceedings{klein-aistats17,
title = {Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets},
author = {A Klein and S Falkner and S Bartels and P Hennig and F Hutter},
year = {2017},
booktitle = {Proceedings of the AISTATS conference},
keywords = {}
}
|
Klein, A; Falkner, S; Bartels, S; Hennig, P; Hutter, F Fast Bayesian hyperparameter optimization on large datasets Proceedings Article In: Electronic Journal of Statistics, 2017. @inproceedings{klein-ejs17,
title = {Fast Bayesian hyperparameter optimization on large datasets},
author = {A Klein and S Falkner and S Bartels and P Hennig and F Hutter},
year = {2017},
booktitle = {Electronic Journal of Statistics},
volume = {11},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Leyton-Brown, K Selection and Configuration of Parallel Portfolios Book Section In: Hamadi, Y; Sais, L (Ed.): Handbook of Parallel Constraint Reasoning, Springer, 2017. @incollection{lindauer-parallel_ac_as17,
title = {Selection and Configuration of Parallel Portfolios},
author = {M Lindauer and H Hoos and F Hutter and K Leyton-Brown},
editor = {Y Hamadi and L Sais},
year = {2017},
booktitle = {Handbook of Parallel Constraint Reasoning},
publisher = {Springer},
chapter = {15},
keywords = {}
}
|
Müller, Markus; Franke, Jörg; Stüker, Sebastian; Waibe, Alex Improving phoneme set discovery for documenting unwritten languages Journal Article In: Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2017, pp. 202–209, 2017. @article{muller2017improving,
title = {Improving phoneme set discovery for documenting unwritten languages},
author = {Markus Müller and Jörg Franke and Sebastian Stüker and Alex Waibe},
year = {2017},
journal = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2017},
pages = {202--209},
publisher = {TUDpress, Dresden},
keywords = {}
}
|
Müller, Markus; Franke, Jörg; Waibel, Alex; Stüker, Sebastian Towards phoneme inventory discovery for documentation of unwritten languages Proceedings Article In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5200–5204, IEEE 2017. @inproceedings{muller2017towards,
title = {Towards phoneme inventory discovery for documentation of unwritten languages},
author = {Markus Müller and Jörg Franke and Alex Waibel and Sebastian Stüker},
year = {2017},
booktitle = {2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {5200--5204},
organization = {IEEE},
keywords = {}
}
|
van Rijn, J N; Hutter, F An Empirical Study of Hyperparameter Importance Across Datasets Proceedings Article In: Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017), pp. 97–104, 2017. @inproceedings{rijn-automl2017,
title = {An Empirical Study of Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2017},
booktitle = {Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017)},
volume = {1998},
pages = {97--104},
keywords = {}
}
|
Schirrmeister, Robin; Springenberg, Jost Tobias; Fiederer, Lukas; Glasstetter, Martin; Eggensperger, Katharina; Tangermann, Michael; Hutter, Frank; Burgard, Wolfram; Ball, Tonio Deep learning with convolutional neural networks for EEG decoding and visualization Journal Article In: Human Brain Mapping, vol. 38, pp. 5391–5420, 2017. @article{schirrmeister-17a,
title = {Deep learning with convolutional neural networks for EEG decoding and visualization},
author = {Robin Schirrmeister and Jost Tobias Springenberg and Lukas Fiederer and Martin Glasstetter and Katharina Eggensperger and Michael Tangermann and Frank Hutter and Wolfram Burgard and Tonio Ball},
year = {2017},
journal = {Human Brain Mapping},
volume = {38},
pages = {5391--5420},
keywords = {}
}
|
2016
|
Springenberg, J T; Klein, A; Falkner, S; Hutter, F Bayesian optimization with robust Bayesian neural networks Proceedings Article In: Advances in Neural Information Processing Systems 29, 2016. @inproceedings{springenberg-nips2016,
title = {Bayesian optimization with robust Bayesian neural networks},
author = {J T Springenberg and A Klein and S Falkner and F Hutter},
year = {2016},
booktitle = {Advances in Neural Information Processing Systems 29},
keywords = {}
}
|
Bischl, B; Kerschke, P; Kotthoff, L; Lindauer, M; Malitsky, Y; Frechétte, A; Hoos, H; Hutter, F; Leyton-Brown, K; Tierney, K; Vanschoren, J ASlib: A Benchmark Library for Algorithm Selection Journal Article In: Artificial Intelligence Journal (AIJ), vol. 237, pp. 41-58, 2016. @article{bischl-aij16a,
title = {ASlib: A Benchmark Library for Algorithm Selection},
author = {B Bischl and P Kerschke and L Kotthoff and M Lindauer and Y Malitsky and A Frechétte and H Hoos and F Hutter and K Leyton-Brown and K Tierney and J Vanschoren},
year = {2016},
journal = {Artificial Intelligence Journal (AIJ)},
volume = {237},
pages = {41-58},
keywords = {}
}
|
Mendoza, H; Klein, A; Feurer, M; Springenberg, J; Hutter, F Towards Automatically-Tuned Neural Networks Proceedings Article In: ICML 2016 AutoML Workshop, 2016. @inproceedings{mendoza-automl16a,
title = {Towards Automatically-Tuned Neural Networks},
author = {H Mendoza and A Klein and M Feurer and J Springenberg and F Hutter},
year = {2016},
booktitle = {ICML 2016 AutoML Workshop},
keywords = {}
}
|
Loshchilov, I; Hutter, F Online Batch Selection for Faster Training of Neural Networks Proceedings Article In: International Conference on Learning Representations (ICLR) 2016 Workshop Track, 2016. @inproceedings{loshchilov-ICLR16batchsel,
title = {Online Batch Selection for Faster Training of Neural Networks},
author = {I Loshchilov and F Hutter},
year = {2016},
booktitle = {International Conference on Learning Representations (ICLR) 2016 Workshop Track},
keywords = {}
}
|
Loshchilov, I; Hutter, F CMA-ES for Hyperparameter Optimization of Deep Neural Networks Proceedings Article In: International Conference on Learning Representations (ICLR) 2016 Workshop Track, 2016. @inproceedings{loshchilov-ICLR16hyperparam,
title = {CMA-ES for Hyperparameter Optimization of Deep Neural Networks},
author = {I Loshchilov and F Hutter},
year = {2016},
booktitle = {International Conference on Learning Representations (ICLR) 2016 Workshop Track},
keywords = {}
}
|
Manthey, N; Lindauer, M SpyBug: Automated Bug Detection in the Configuration Space of SAT Solvers Proceedings Article In: Proceedings of the International Conference on Satisfiability Solving (SAT'16), 2016. @inproceedings{manthey-sat16a,
title = {SpyBug: Automated Bug Detection in the Configuration Space of SAT Solvers},
author = {N Manthey and M Lindauer},
year = {2016},
booktitle = {Proceedings of the International Conference on Satisfiability Solving (SAT'16)},
keywords = {}
}
|
Wang, Ziyu; Hutter, Frank; Zoghi, Masrour; Matheson, David; de Freitas, Nando Bayesian Optimization in a Billion Dimensions via Random Embeddings Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 55, pp. 361-387, 2016. @article{wang-jair2016,
title = {Bayesian Optimization in a Billion Dimensions via Random Embeddings},
author = {Ziyu Wang and Frank Hutter and Masrour Zoghi and David Matheson and Nando de Freitas},
year = {2016},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {55},
pages = {361-387},
keywords = {}
}
|
Lindauer, M.; Bergdoll, D.; Hutter, F. An Empirical Study of Per-Instance Algorithm Scheduling Proceedings Article In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'16), 2016. @inproceedings{lindauer-lion16a,
title = {An Empirical Study of Per-Instance Algorithm Scheduling},
author = {M. Lindauer and D. Bergdoll and F. Hutter},
year = {2016},
booktitle = {Proceedings of the International Conference on Learning and Intelligent Optimization (LION'16)},
keywords = {}
}
|
Franke, Joerg; Mueller, Markus; Hamlaoui, Fatima; Stueker, Sebastian; Waibel, Alex Phoneme boundary detection using deep bidirectional lstms Proceedings Article In: Speech Communication; 12. ITG Symposium, pp. 1–5, VDE 2016. @inproceedings{franke2016phoneme,
title = {Phoneme boundary detection using deep bidirectional lstms},
author = {Joerg Franke and Markus Mueller and Fatima Hamlaoui and Sebastian Stueker and Alex Waibel},
year = {2016},
booktitle = {Speech Communication; 12. ITG Symposium},
pages = {1--5},
organization = {VDE},
keywords = {}
}
|
Meinel, Andreas; Eggensperger, Katharina; Tangermann, Michael; Hutter, Frank Hyperparameter Optimization for Machine Learning Problems in BCI (Abstract) Proceedings Article In: Proceedings of the International Brain Computer Interface Meeting 2016, 2016. @inproceedings{meinel-bci16a,
title = {Hyperparameter Optimization for Machine Learning Problems in BCI (Abstract)},
author = {Andreas Meinel and Katharina Eggensperger and Michael Tangermann and Frank Hutter},
year = {2016},
booktitle = {Proceedings of the International Brain Computer Interface Meeting 2016},
keywords = {}
}
|
Post, Martijn J; van der Putten, Peter; van Rijn, J N Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML Proceedings Article In: Advances in Intelligent Data Analysis XV, pp. 158–170, Springer 2016. @inproceedings{Post2016,
title = {Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML},
author = {Martijn J Post and Peter van der Putten and J N van Rijn},
year = {2016},
booktitle = {Advances in Intelligent Data Analysis XV},
pages = {158--170},
organization = {Springer},
keywords = {}
}
|
van Rijn, J N Massively Collaborative Machine Learning PhD Thesis Leiden University, 2016. @phdthesis{Rijn2016,
title = {Massively Collaborative Machine Learning},
author = {J N van Rijn},
year = {2016},
address = {Leiden, Netherlands},
school = {Leiden University},
keywords = {}
}
|
Schubert, Tobias; Eggensperger, Katharina; Gkogkidis, Alexis; Hutter, Frank; Ball, Tonio; Burgard, Wolfram Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture Proceedings Article In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'16), 2016, (Video showing the results of the optimization procedure). @inproceedings{schubert_icra16a,
title = {Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture},
author = {Tobias Schubert and Katharina Eggensperger and Alexis Gkogkidis and Frank Hutter and Tonio Ball and Wolfram Burgard},
year = {2016},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'16)},
keywords = {}
}
|
2015
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost Tobias; Blum, Manuel; Hutter, Frank Efficient and Robust Automated Machine Learning Proceedings Article In: Advances in Neural Information Processing Systems 28 (NeurIPS'15), pp. 2962–2970, 2015. @inproceedings{feurer-neurip2015,
title = {Efficient and Robust Automated Machine Learning},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Tobias Springenberg and Manuel Blum and Frank Hutter},
year = {2015},
booktitle = {Advances in Neural Information Processing Systems 28 (NeurIPS'15)},
pages = {2962--2970},
keywords = {}
}
|
Klein, A; Bartels, S; Falkner, S; Hennig, P; Hutter, F Towards efficient Bayesian Optimization for Big Data Proceedings Article In: NIPS 2015 Bayesian Optimization Workshop, 2015. @inproceedings{klein-bayesopt15,
title = {Towards efficient Bayesian Optimization for Big Data},
author = {A Klein and S Bartels and S Falkner and P Hennig and F Hutter},
year = {2015},
booktitle = {NIPS 2015 Bayesian Optimization Workshop},
keywords = {}
}
|
Falkner, S; Lindauer, M; Hutter, F SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers Proceedings Article In: Proceedings of the International Conference on Satisfiability Solving (SAT'15), pp. 1-8, 2015. @inproceedings{falkner-sat15a,
title = {SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers},
author = {S Falkner and M Lindauer and F Hutter},
year = {2015},
booktitle = {Proceedings of the International Conference on Satisfiability Solving (SAT'15)},
pages = {1-8},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: An automatically configured Algorithm Selector Journal Article In: Journal of Artificial Intelligence, vol. 53, pp. 745-778, 2015. @article{lindauer-jair15a,
title = {AutoFolio: An automatically configured Algorithm Selector},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2015},
journal = {Journal of Artificial Intelligence},
volume = {53},
pages = {745-778},
keywords = {}
}
|
Domhan, T; Springenberg, J T; Hutter, F Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves Proceedings Article In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015. @inproceedings{DomSprHut15,
title = {Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves},
author = {T Domhan and J T Springenberg and F Hutter},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost Tobias; Blum, Manuel; Hutter, Frank Methods for Improving Bayesian Optimization for AutoML Proceedings Article In: ICML 2015 AutoML Workshop, 2015. @inproceedings{feurer-automl15a,
title = {Methods for Improving Bayesian Optimization for AutoML},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Tobias Springenberg and Manuel Blum and Frank Hutter},
year = {2015},
booktitle = {ICML 2015 AutoML Workshop},
keywords = {}
}
|
Hutter, F; Lücke, J; Schmidt-Thieme, L Beyond Manual Tuning of Hyperparameters Journal Article In: Künstliche Intelligenz, vol. 0, pp. 1-9, 2015. @article{HutLueSch15,
title = {Beyond Manual Tuning of Hyperparameters},
author = {F Hutter and J Lücke and L Schmidt-Thieme},
year = {2015},
journal = {Künstliche Intelligenz},
volume = {0},
pages = {1-9},
keywords = {}
}
|
Hutter, F; Xu, L; Hoos, H H; Leyton-Brown, K Algorithm runtime prediction: Methods & evaluation (extended abstract) Proceedings Article In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015. @inproceedings{HutXuHooLey15,
title = {Algorithm runtime prediction: Methods & evaluation (extended abstract)},
author = {F Hutter and L Xu and H H Hoos and K Leyton-Brown},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Vallati, Mauro; Hutter, Frank; Chrpa, Lukáš; McCluskey, T L On the Effective Configuration of Planning Domain Models Proceedings Article In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), AAAI press, 2015. @inproceedings{ValHutChrMcC15,
title = {On the Effective Configuration of Planning Domain Models},
author = {Mauro Vallati and Frank Hutter and Lukáš Chrpa and T L McCluskey},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
publisher = {AAAI press},
keywords = {}
}
|
Vanschoren, J; van Rijn, J; Bischl, B; Casalicchio, G; Lang, M; Feurer, M OpenML: a Networked Science Platform for Machine Learning (Abstract) Proceedings Article In: ICML 2015 MLOSS Workshop, 2015. @inproceedings{vanschoren-mloss15a,
title = {OpenML: a Networked Science Platform for Machine Learning (Abstract)},
author = {J Vanschoren and J van Rijn and B Bischl and G Casalicchio and M Lang and M Feurer},
year = {2015},
booktitle = {ICML 2015 MLOSS Workshop},
keywords = {}
}
|
Eggensperger, K; Hutter, F; Hoos, H H; Leyton-Brown, K Efficient Benchmarking of Hyperparameter Optimizers via Surrogates Proceedings Article In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Eggensperger2015,
title = {Efficient Benchmarking of Hyperparameter Optimizers via Surrogates},
author = {K Eggensperger and F Hutter and H H Hoos and K Leyton-Brown},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
Feurer, M; Springenberg, T; Hutter, F Initializing Bayesian Hyperparameter Optimization via Meta-Learning Proceedings Article In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Feurer2015,
title = {Initializing Bayesian Hyperparameter Optimization via Meta-Learning},
author = {M Feurer and T Springenberg and F Hutter},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
Hoos, H; Kaminski, R; Lindauer, M; Schaub, T aspeed: Solver Scheduling via Answer Set Programming Journal Article In: Theory and Practice of Logic Programming, vol. 15, pp. 117-142, 2015. @article{hokalisc14a,
title = {aspeed: Solver Scheduling via Answer Set Programming},
author = {H Hoos and R Kaminski and M Lindauer and T Schaub},
year = {2015},
journal = {Theory and Practice of Logic Programming},
volume = {15},
pages = {117-142},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: Algorithm Configuration for Algorithm Selection Proceedings Article In: Proceedings of the Twenty-Ninth AAAI Workshops on Artificial Intelligence, 2015. @inproceedings{lindauer-aaai15a,
title = {AutoFolio: Algorithm Configuration for Algorithm Selection},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Workshops on Artificial Intelligence},
keywords = {}
}
|
Lindauer, M; Hoos, H; F,; Hutter, From Sequential Algorithm Selection to Parallel Portfolio Selection Proceedings Article In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'15), 2015. @inproceedings{lindauer-lion15a,
title = {From Sequential Algorithm Selection to Parallel Portfolio Selection},
author = {M Lindauer and H Hoos and F and Hutter},
year = {2015},
booktitle = {Proceedings of the International Conference on Learning and Intelligent Optimization (LION'15)},
keywords = {}
}
|
van Rijn, J N; Abdulrahman, S M; Brazdil, P; Vanschoren, J Fast algorithm selection using learning curves Proceedings Article In: Advances in Intelligent Data Analysis XIV, pp. 298–309, Springer 2015. @inproceedings{Rijn2015,
title = {Fast algorithm selection using learning curves},
author = {J N van Rijn and S M Abdulrahman and P Brazdil and J Vanschoren},
year = {2015},
booktitle = {Advances in Intelligent Data Analysis XIV},
pages = {298--309},
organization = {Springer},
keywords = {}
}
|
van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams Proceedings Article In: Data Mining (ICDM), 2015 IEEE International Conference on, pp. 1003–1008, IEEE 2015. @inproceedings{Rijn2015b,
title = {Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2015},
booktitle = {Data Mining (ICDM), 2015 IEEE International Conference on},
pages = {1003--1008},
organization = {IEEE},
keywords = {}
}
|
van Rijn, J N; Vanschoren, J Sharing RapidMiner Workflows and Experiments with OpenML Proceedings Article In: Vanschoren, Joaquin; Brazdil, Pavel; Giraud-Carrier, Christophe; Kotthoff, Lars (Ed.): Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel), pp. 93–103, Aachen, 2015. @inproceedings{Rijn2015c,
title = {Sharing RapidMiner Workflows and Experiments with OpenML},
author = {J N van Rijn and J Vanschoren},
editor = {Joaquin Vanschoren and Pavel Brazdil and Christophe Giraud-Carrier and Lars Kotthoff},
year = {2015},
booktitle = {Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel)},
number = {1455},
pages = {93--103},
address = {Aachen},
series = {CEUR Workshop Proceedings},
keywords = {}
}
|
van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Case study on bagging stable classifiers for data streams Proceedings Article In: BENELEARN 2015, 2015. @inproceedings{Rijn2015d,
title = {Case study on bagging stable classifiers for data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2015},
booktitle = {BENELEARN 2015},
keywords = {}
}
|
Seipp, J; Sievers, S; Helmert, M; Hutter, F Automatic Configuration of Sequential Planning Portfolios Proceedings Article In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Seipp2015,
title = {Automatic Configuration of Sequential Planning Portfolios},
author = {J Seipp and S Sievers and M Helmert and F Hutter},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
van Rijn, J N; Takes, F W; Vis, J K The Complexity of Rummikub Problems Proceedings Article In: BNAIC 2015: Proceedings of the 27th Benelux Conference on Artificial Intelligence, 2015. @inproceedings{van2016complexity,
title = {The Complexity of Rummikub Problems},
author = {J N van Rijn and F W Takes and J K Vis},
year = {2015},
booktitle = {BNAIC 2015: Proceedings of the 27th Benelux Conference on Artificial Intelligence},
keywords = {}
}
|
Vanschoren, J; Bischl, B; Hutter, F; Sebag, M; Kegl, B; Schmid, M; Napolitano, G; Wolstencroft, K; Williams, A R; Lawrence, N Towards a Data Science Collaboratory Proceedings Article In: Advances in Intelligent Data Analysis XIV (IDA 2015), 2015. @inproceedings{vanschoren-ida2015,
title = {Towards a Data Science Collaboratory},
author = {J Vanschoren and B Bischl and F Hutter and M Sebag and B Kegl and M Schmid and G Napolitano and K Wolstencroft and A R Williams and N Lawrence},
year = {2015},
booktitle = {Advances in Intelligent Data Analysis XIV (IDA 2015)},
keywords = {}
}
|
Vanschoren, J; van Rijn, J N; Bischl, B Taking machine learning research online with OpenML Proceedings Article In: Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 1–4, 2015. @inproceedings{vanschoren2015taking,
title = {Taking machine learning research online with OpenML},
author = {J Vanschoren and J N van Rijn and B Bischl},
year = {2015},
booktitle = {Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications},
pages = {1--4},
keywords = {}
}
|
2014
|
Seipp, Jendrick; Sievers, Silvan; Hutter, Frank Fast Downward Cedalion Miscellaneous 2014, (Planner abstract, IPC 2014 Planning and Learning TrackBest learner award, and second place in the category overall best quality at the IPC 2014 Planning and Learning Track. Also achieved the highest coverage in the IPC 2014 sequential agile planning track.). @misc{SeippEtAl2014a,
title = {Fast Downward Cedalion},
author = {Jendrick Seipp and Silvan Sievers and Frank Hutter},
year = {2014},
keywords = {}
}
|
Seipp, Jendrick; Sievers, Silvan; Hutter, Frank Fast Downward SMAC Miscellaneous 2014, (Planner abstract, IPC 2014 Planning and Learning TrackBest basic solver award, and third place in the categories overall best
quality and best learner.). @misc{SeippEtAl2014b,
title = {Fast Downward SMAC},
author = {Jendrick Seipp and Silvan Sievers and Frank Hutter},
year = {2014},
keywords = {}
}
|
Eggensperger, Katharina; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Surrogate Benchmarks for Hyperparameter Optimization Proceedings Article In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel), pp. 24-31, 2014, (Superseeded by the AAAI15 paper _Efficient Benchmarking of Hyperparameter
Optimizers via Surrogates_). @inproceedings{EggHutHooLey,
title = {Surrogate Benchmarks for Hyperparameter Optimization},
author = {Katharina Eggensperger and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {ECAI workshop on Metalearning and Algorithm Selection (MetaSel)},
pages = {24-31},
keywords = {}
}
|
Feurer, M; Springenberg, T; Hutter, F Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters Proceedings Article In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel), pp. 3–10, 2014, (Superseeded by the AAAI15 paper _Initializing Bayesian Hyperparameter
Optimization via Meta-Learning_). @inproceedings{FeuSprHut,
title = {Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters},
author = {M Feurer and T Springenberg and F Hutter},
year = {2014},
booktitle = {ECAI workshop on Metalearning and Algorithm Selection (MetaSel)},
pages = {3--10},
keywords = {}
}
|
Domhan, Tobias; Springenberg, Tobias; Hutter, Frank Extrapolating Learning Curves of Deep Neural Networks Proceedings Article In: ICML 2014 AutoML Workshop, 2014. @inproceedings{DomSprHut14,
title = {Extrapolating Learning Curves of Deep Neural Networks},
author = {Tobias Domhan and Tobias Springenberg and Frank Hutter},
year = {2014},
booktitle = {ICML 2014 AutoML Workshop},
keywords = {}
}
|
Fawcett, Chris; Vallati, Mauro; Hutter, Frank; Hoffmann, Jörg; Hoos, Holger; Leyton-Brown, Kevin Improved Features for Runtime Prediction of Domain-Independent Planners Proceedings Article In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 2014), 2014. @inproceedings{FawEtAl14:PlanningFeatures,
title = {Improved Features for Runtime Prediction of Domain-Independent Planners},
author = {Chris Fawcett and Mauro Vallati and Frank Hutter and Jörg Hoffmann and Holger Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 2014)},
keywords = {}
}
|
Hutter, F; Hoos, H; Leyton-Brown, K An Efficient Approach for Assessing Hyperparameter Importance Proceedings Article In: Proceedings of International Conference on Machine Learning 2014 (ICML 2014), pp. 754–762, 2014. @inproceedings{HutHooLey14,
title = {An Efficient Approach for Assessing Hyperparameter Importance},
author = {F Hutter and H Hoos and K Leyton-Brown},
year = {2014},
booktitle = {Proceedings of International Conference on Machine Learning 2014 (ICML 2014)},
pages = {754--762},
keywords = {}
}
|
Leyton-Brown, Kevin; Hoos, Holger; Hutter, Frank; Xu, Lin Understanding the Empirical Hardness of NP-complete Problems Journal Article In: Communications of the Association for Computing Machinery (CACM), vol. 57, no. 5, pp. 98–107, 2014. @article{LeyHooHutXu14,
title = {Understanding the Empirical Hardness of NP-complete Problems},
author = {Kevin Leyton-Brown and Holger Hoos and Frank Hutter and Lin Xu},
year = {2014},
journal = {Communications of the Association for Computing Machinery (CACM)},
volume = {57},
number = {5},
pages = {98--107},
publisher = {ACM},
keywords = {}
}
|
Geschwender, Daniel; Hutter, Frank; Kotthoff, Lars; Malitsky, Yuri; Hoos, Holger; Leyton-Brown, Kevin Algorithm Configuration in the Cloud: A Feasibility Study Proceedings Article In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014. @inproceedings{GesHutKotMalHooLey14,
title = {Algorithm Configuration in the Cloud: A Feasibility Study},
author = {Daniel Geschwender and Frank Hutter and Lars Kotthoff and Yuri Malitsky and Holger Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)},
keywords = {}
}
|
Hoos, H; Lindauer, M; Schaub, T claspfolio 2: Advances in Algorithm Selection for Answer Set Programming Journal Article In: Theory and Practice of Logic Programming, vol. 14, pp. 569-585, 2014. @article{holisc14a,
title = {claspfolio 2: Advances in Algorithm Selection for Answer Set Programming},
author = {H Hoos and M Lindauer and T Schaub},
year = {2014},
journal = {Theory and Practice of Logic Programming},
volume = {14},
pages = {569-585},
keywords = {}
}
|
Hoogeboom, H J; Kosters, W A; van Rijn, J N; Vis, J K Acyclic Constraint Logic and Games Journal Article In: ICGA Journal, vol. 37, no. 1, pp. 3–16, 2014. @article{hoogeboom2014acyclic,
title = {Acyclic Constraint Logic and Games},
author = {H J Hoogeboom and W A Kosters and J N van Rijn and J K Vis},
year = {2014},
journal = {ICGA Journal},
volume = {37},
number = {1},
pages = {3--16},
publisher = {IOS Press},
keywords = {}
}
|
Hutter, Frank; López-Ibáñez, Manuel; Fawcett, Chris; Lindauer, Marius; Hoos, Holger; Leyton-Brown, Kevin; Stützle, Thomas AClib: a Benchmark Library for Algorithm Configuration Proceedings Article In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014. @inproceedings{HutEtAl14:AClib,
title = {AClib: a Benchmark Library for Algorithm Configuration},
author = {Frank Hutter and Manuel López-Ibáñez and Chris Fawcett and Marius Lindauer and Holger Hoos and Kevin Leyton-Brown and Thomas Stützle},
year = {2014},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)},
keywords = {}
}
|
Hutter, F; Xu, L; Hoos, H H; Leyton-Brown, K Algorithm runtime prediction: Methods & evaluation Journal Article In: Artificial Intelligence, vol. 206, no. 0, pp. 79–111, 2014, (The data and source code for this paper are available from our Empirical Performance Models project page). @article{HutXuHooLey14,
title = {Algorithm runtime prediction: Methods & evaluation},
author = {F Hutter and L Xu and H H Hoos and K Leyton-Brown},
year = {2014},
journal = {Artificial Intelligence},
volume = {206},
number = {0},
pages = {79--111},
keywords = {}
}
|
Lindauer, M Algorithm Selection, Scheduling and Configuration of Boolean Constraint Solvers PhD Thesis University of Potsdam, 2014, (Preliminary Version). @phdthesis{lindauer-phdthesis,
title = {Algorithm Selection, Scheduling and Configuration of Boolean Constraint Solvers},
author = {M Lindauer},
year = {2014},
school = {University of Potsdam},
keywords = {}
}
|
van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Algorithm Selection on Data Streams Book Section In: Discovery Science, vol. 8777, pp. 325–336, Springer, 2014. @incollection{Rijn2014,
title = {Algorithm Selection on Data Streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2014},
booktitle = {Discovery Science},
volume = {8777},
pages = {325--336},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
van Rijn, J N; Vis, J K Endgame Analysis of Dou Shou Qi Journal Article In: ICGA Journal, vol. 37, no. 2, pp. 120–124, 2014. @article{van2014endgame,
title = {Endgame Analysis of Dou Shou Qi},
author = {J N van Rijn and J K Vis},
year = {2014},
journal = {ICGA Journal},
volume = {37},
number = {2},
pages = {120--124},
publisher = {IOS Press},
keywords = {}
}
|
van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Towards meta-learning over data streams Proceedings Article In: MetaSel 2014, pp. 37–38, CEUR-WS 2014. @inproceedings{van2014towards,
title = {Towards meta-learning over data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2014},
booktitle = {MetaSel 2014},
volume = {1201},
pages = {37--38},
organization = {CEUR-WS},
keywords = {}
}
|
Vanschoren, J; van Rijn, J N; Bischl, B; Torgo, L OpenML: networked science in machine learning Journal Article In: ACM SIGKDD Explorations Newsletter, vol. 15, no. 2, pp. 49–60, 2014. @article{Vanschoren2014,
title = {OpenML: networked science in machine learning},
author = {J Vanschoren and J N van Rijn and B Bischl and L Torgo},
year = {2014},
journal = {ACM SIGKDD Explorations Newsletter},
volume = {15},
number = {2},
pages = {49--60},
publisher = {ACM},
keywords = {}
}
|
2013
|
Eggensperger, Katharina; Feurer, Matthias; Hutter, Frank; Bergstra, James; Snoek, Jasper; Hoos, Holger H; Leyton-Brown, Kevin Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters Proceedings Article In: NeurIPS workshop on Bayesian Optimization in Theory and Practice, 2013, (Software and benchmarks are available from our HPOlib website.). @inproceedings{eggensperger-bayesopt13a,
title = {Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters},
author = {Katharina Eggensperger and Matthias Feurer and Frank Hutter and James Bergstra and Jasper Snoek and Holger H Hoos and Kevin Leyton-Brown},
year = {2013},
booktitle = {NeurIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin An Efficient Approach for Assessing Parameter Importance in Bayesian Optimization Proceedings Article In: NIPS workshop on Bayesian Optimization in Theory and Practice, 2013. @inproceedings{HutHooLey13,
title = {An Efficient Approach for Assessing Parameter Importance in Bayesian Optimization},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2013},
booktitle = {NIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Swersky, Kevin; Duvenaud, David; Snoek, Jasper; Hutter, Frank; Osborne, Michael Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces Proceedings Article In: NIPS workshop on Bayesian Optimization in Theory and Practice, 2013. @inproceedings{SweDuvSnoHutOsb13,
title = {Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces},
author = {Kevin Swersky and David Duvenaud and Jasper Snoek and Frank Hutter and Michael Osborne},
year = {2013},
booktitle = {NIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Gebser, M; Jost, H; Kaminski, R; Obermeier, P; Sabuncu, O; Schaub, T; Schneider, M Ricochet Robots: A transverse ASP benchmark Proceedings Article In: pp. 348-360, 2013. @inproceedings{gejokaobsascsc13a,
title = {Ricochet Robots: A transverse ASP benchmark},
author = {M Gebser and H Jost and R Kaminski and P Obermeier and O Sabuncu and T Schaub and M Schneider},
year = {2013},
pages = {348-360},
crossref = {lpnmr13},
keywords = {}
}
|
Thornton, C; Hutter, F; Hoos, H H; Leyton-Brown, K Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms Proceedings Article In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), 2013, (The software is available from our Auto-WEKA
page.). @inproceedings{ThoHutHooLey13,
title = {Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms},
author = {C Thornton and F Hutter and H H Hoos and K Leyton-Brown},
year = {2013},
booktitle = {Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13)},
keywords = {}
}
|
Wang, Z; Zoghi, M; Hutter, F; Matheson, D; de Freitas, N Bayesian Optimization in High Dimensions via Random Embeddings Proceedings Article In: Proceedings of the 23rd international joint conference on Artificial Intelligence (IJCAI), pp. 1778-1784, AAAI Press 2013, (Distinguished paper award. ). @inproceedings{WangEtAl13,
title = {Bayesian Optimization in High Dimensions via Random Embeddings},
author = {Z Wang and M Zoghi and F Hutter and D Matheson and N de Freitas},
year = {2013},
booktitle = {Proceedings of the 23rd international joint conference on Artificial Intelligence (IJCAI)},
pages = {1778-1784},
organization = {AAAI Press},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K An Evaluation of Sequential Model-Based Optimization for Expensive Blackbox Functions Proceedings Article In: Proceedings of GECCO-13 Workshop on Blackbox Optimization Benchmarking (BBOB'13), 2013, (Software and data are available from the SMAC
page.). @inproceedings{HutHooLey13b,
title = {An Evaluation of Sequential Model-Based Optimization for Expensive Blackbox Functions},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2013},
booktitle = {Proceedings of GECCO-13 Workshop on Blackbox Optimization Benchmarking (BBOB'13)},
keywords = {}
}
|
Hoos, H; Kaufmann, B; Schaub, T; Schneider, M Robust Benchmark Set Selection for Boolean Constraint Solvers Proceedings Article In: pp. 138-152, 2013. @inproceedings{hokascsc13a,
title = {Robust Benchmark Set Selection for Boolean Constraint Solvers},
author = {H Hoos and B Kaufmann and T Schaub and M Schneider},
year = {2013},
pages = {138-152},
crossref = {lion13},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Identifying Key Algorithm Parameters and Instance Features using Forward Selection Book Section In: Nicosia, Giuseppe; Pardalos, Panos (Ed.): Proceedings of the 7th International Conference on Learning and Optimization (LION-7), Springer Berlin Heidelberg, 2013, (The data and source code for this paper are available from our Empirical
Performance Models project page.). @incollection{HutHooLey13c,
title = {Identifying Key Algorithm Parameters and Instance Features using Forward Selection},
author = {F Hutter and H H Hoos and K Leyton-Brown},
editor = {Giuseppe Nicosia and Panos Pardalos},
year = {2013},
booktitle = {Proceedings of the 7th International Conference on Learning and Optimization (LION-7)},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Pardalos, P; Nicosia, G (Ed.) Proceedings of the Seventh International Conference on
Learning and Intelligent Optimization (LION'13) Proceedings Springer-Verlag, vol. 7997, 2013. @proceedings{lion13,
title = {Proceedings of the Seventh International Conference on
Learning and Intelligent Optimization (LION'13)},
editor = {P Pardalos and G Nicosia},
year = {2013},
booktitle = {Proceedings of the Seventh International Conference on
Learning and Intelligent Optimization (LION'13)},
volume = {7997},
publisher = {Springer-Verlag},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Cabalar, P; Son, T (Ed.) Proceedings of the Twelfth International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'13) Proceedings Springer-Verlag, vol. 8148, 2013. @proceedings{lpnmr13,
title = {Proceedings of the Twelfth International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'13)},
editor = {P Cabalar and T Son},
year = {2013},
booktitle = {Proceedings of the Twelfth International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'13)},
volume = {8148},
publisher = {Springer-Verlag},
series = {Lecture Notes in Artificial Intelligence},
keywords = {}
}
|
van Rijn, J N; Bischl, B; Torgo, L; Gao, B; Umaashankar, V; Fischer, S; Winter, P; Wiswedel, B; Berthold, M R; Vanschoren, J OpenML: A Collaborative Science Platform Book Section In: Machine Learning and Knowledge Discovery in Databases, pp. 645–649, Springer, 2013. @incollection{Rijn2013,
title = {OpenML: A Collaborative Science Platform},
author = {J N van Rijn and B Bischl and L Torgo and B Gao and V Umaashankar and S Fischer and P Winter and B Wiswedel and M R Berthold and J Vanschoren},
year = {2013},
booktitle = {Machine Learning and Knowledge Discovery in Databases},
pages = {645--649},
publisher = {Springer},
keywords = {}
}
|
van Rijn, J N; Umaashankar, V; Fischer, S; Bischl, B; Torgo, L; Gao, B; Winter, P; Wiswedel, B; Berthold, M R; Vanschoren, J A RapidMiner extension for open machine learning Proceedings Article In: RapidMiner Community Meeting and Conference, pp. 59–70, 2013. @inproceedings{Rijn2013b,
title = {A RapidMiner extension for open machine learning},
author = {J N van Rijn and V Umaashankar and S Fischer and B Bischl and L Torgo and B Gao and P Winter and B Wiswedel and M R Berthold and J Vanschoren},
year = {2013},
booktitle = {RapidMiner Community Meeting and Conference},
pages = {59--70},
keywords = {}
}
|
van Rijn, J N; Vis, J K Complexity and retrograde analysis of the game Dou Shou Qi Proceedings Article In: BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial Intelligence, Delft University of Technology (TU Delft); under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS) 2013. @inproceedings{van2013complexity,
title = {Complexity and retrograde analysis of the game Dou Shou Qi},
author = {J N van Rijn and J K Vis},
year = {2013},
booktitle = {BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial Intelligence},
organization = {Delft University of Technology (TU Delft); under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS)},
keywords = {}
}
|
2012
|
Kaufmann, B; Schaub, T; Schneider, M clasp, claspfolio, aspeed: Three Solvers from the Answer Set Solving Collection Potassco Proceedings Article In: pp. 17-19, 2012. @inproceedings{kascsc12a,
title = {clasp, claspfolio, aspeed: Three Solvers from the Answer Set Solving Collection Potassco},
author = {B Kaufmann and T Schaub and M Schneider},
year = {2012},
pages = {17-19},
crossref = {satchallenge12},
keywords = {}
}
|
Hoos, H; Kaminski, R; Schaub, T; Schneider, M aspeed: ASP-based Solver Scheduling Proceedings Article In: pp. 176-187, 2012. @inproceedings{hokascsc12a,
title = {aspeed: ASP-based Solver Scheduling},
author = {H Hoos and R Kaminski and T Schaub and M Schneider},
year = {2012},
pages = {176-187},
crossref = {iclp-lipics12},
keywords = {}
}
|
Silverthorn, B; Lierler, Y; Schneider, M Surviving Solver Sensitivity: An ASP Practitioner's Guide Proceedings Article In: pp. 164-175, 2012. @inproceedings{silisc12a,
title = {Surviving Solver Sensitivity: An ASP Practitioner's Guide},
author = {B Silverthorn and Y Lierler and M Schneider},
year = {2012},
pages = {164-175},
crossref = {iclp-lipics12a},
keywords = {}
}
|
Xu, L; Hutter, F; Shen, J; Hoos, H; Leyton-Brown, K SATzilla2012: Improved Algorithm Selection Based on Cost-sensitive Classification Models Unpublished 2012, (Published online. Solver description for the 2012 SAT challenge. SATzilla2012 won 3 out of the 4
categories for which it was eligible, and placed 2nd in the remaining one.
Details: it won the sequential portfolio track, was the best solver for 2 of the 3 main sequential categories (Application and Hard Combinatorial), and 2nd
in the sequential Random Category (beaten only by a new non-portfolio solver,
CCASAT). See the SATzilla
project page for details on SATzilla and source code.). @unpublished{XuEtAl12,
title = {SATzilla2012: Improved Algorithm Selection Based on Cost-sensitive Classification Models},
author = {L Xu and F Hutter and J Shen and H Hoos and K Leyton-Brown},
editor = {Adrian Balint and Anton Belov and Daniel Diepold and Simon Gerber and Matti Järvisalo and Carsten Sinz},
year = {2012},
booktitle = {Proceedings of SAT Challenge 2012: Solver and Benchmark Descriptions},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors Proceedings Article In: International Conference on Theory and Applications of Satisfiability Testing (SAT'12), 2012. @inproceedings{XuHutHoosLey12,
title = {Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2012},
booktitle = {International Conference on Theory and Applications of Satisfiability Testing (SAT'12)},
keywords = {}
}
|
Schneider, M; Hoos, H Quantifying Homogeneity of Instance Sets for Algorithm Configuration Proceedings Article In: Learning and Intelligent Optimization (LION'12), 2012. @inproceedings{hoosch12a,
title = {Quantifying Homogeneity of Instance Sets for Algorithm Configuration},
author = {M Schneider and H Hoos},
year = {2012},
booktitle = {Learning and Intelligent Optimization (LION'12)},
crossref = {lion12},
keywords = {}
}
|
Hoos, Holger; Leyton-Brown, Kevin; Schaub, Torsten; Schneider, Marius Algorithm Configuration for Portfolio-based Parallel SAT-Solving Journal Article In: Proceedings of the First Workshop on Combining Constraint Solving with Mining and Learning (CoCoMile'12), 2012. @article{cocomile12,
title = {Algorithm Configuration for Portfolio-based Parallel SAT-Solving},
author = {Holger Hoos and Kevin Leyton-Brown and Torsten Schaub and Marius Schneider},
editor = {R Coletta and T Guns and B O'Sullivan and Passerini A and G Tack},
year = {2012},
journal = {Proceedings of the First Workshop on Combining Constraint Solving with Mining and Learning (CoCoMile'12)},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Parallel Algorithm Configuration Proceedings Article In: Proceedings of the Learning and Intelligent OptimizatioN Conference LION 6, pp. 55-70, 2012. @inproceedings{HutHooLey12d,
title = {Parallel Algorithm Configuration},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2012},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference LION 6},
pages = {55-70},
keywords = {}
}
|
Dovier, A; Costa, Santos V (Ed.) Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12) Proceedings Leibniz International Proceedings in Informatics (LIPIcs), vol. 17, 2012. @proceedings{iclp-lipics12,
title = {Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12)},
editor = {A Dovier and Santos V Costa},
year = {2012},
booktitle = {Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12)},
volume = {17},
publisher = {Leibniz International Proceedings in Informatics (LIPIcs)},
keywords = {}
}
|
Dovier, A; Costa, Santos V (Ed.) Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12) Proceedings Leibniz International Proceedings in Informatics (LIPIcs), vol. 17, 2012. @proceedings{iclp-lipics12a,
title = {Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12)},
editor = {A Dovier and Santos V Costa},
year = {2012},
booktitle = {Technical Communications of the Twenty-eighth International
Conference on Logic Programming (ICLP'12)},
volume = {17},
publisher = {Leibniz International Proceedings in Informatics (LIPIcs)},
keywords = {}
}
|
Hamadi, Y; Schoenauer, M (Ed.) Proceedings of the Sixth International Conference on
Learning and Intelligent Optimization (LION'12) Proceedings Springer-Verlag, 2012. @proceedings{lion12,
title = {Proceedings of the Sixth International Conference on
Learning and Intelligent Optimization (LION'12)},
editor = {Y Hamadi and M Schoenauer},
year = {2012},
booktitle = {Proceedings of the Sixth International Conference on
Learning and Intelligent Optimization (LION'12)},
publisher = {Springer-Verlag},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Balint, A; Belov, A; Diepold, D; Gerber, S; Järvisalo, M; Sinz, C (Ed.) Proceedings of SAT Challenge 2012: Solver and Benchmark
Descriptions Proceedings University of Helsinki, vol. B-2012-2, 2012, (Available at
r̆lhttps://helda.helsinki.fi/handle/10138/34218). @proceedings{satchallenge12,
title = {Proceedings of SAT Challenge 2012: Solver and Benchmark
Descriptions},
editor = {A Balint and A Belov and D Diepold and S Gerber and M Järvisalo and C Sinz},
year = {2012},
booktitle = {Proceedings of SAT Challenge 2012: Solver and Benchmark
Descriptions},
volume = {B-2012-2},
publisher = {University of Helsinki},
series = {Department of Computer Science Series of Publications B},
keywords = {}
}
|
2011
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Bayesian Optimization With Censored Response Data Proceedings Article In: NIPS workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits, 2011, (Published online. There is also a new, extended
arXiv version.). @inproceedings{HutHooLey11b,
title = {Bayesian Optimization With Censored Response Data},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2011},
booktitle = {NIPS workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Hydra-MIP: Automated Algorithm Configuration and Selection for Mixed Integer Programming Proceedings Article In: RCRA workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion at the International Joint Conference on Artificial Intelligence (IJCAI), 2011. @inproceedings{XuHutHooLey,
title = {Hydra-MIP: Automated Algorithm Configuration and Selection for Mixed Integer Programming},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2011},
booktitle = {RCRA workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion at the International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin Detailed SATzilla Results from the Data Analysis Track of the 2011 SAT Competition Miscellaneous 2011. @misc{XuEtAl2011,
title = {Detailed SATzilla Results from the Data Analysis Track of the 2011 SAT Competition},
author = {Lin Xu and Frank Hutter and Holger Hoos and Kevin Leyton-Brown},
year = {2011},
keywords = {}
}
|
Gebser, M; Kaminski, R; Kaufmann, B; Schaub, T; Schneider, M; Ziller, S A Portfolio Solver for Answer Set Programming: Preliminary Report Proceedings Article In: pp. 352-357, 2011. @inproceedings{gekakascsczi11a,
title = {A Portfolio Solver for Answer Set Programming: Preliminary Report},
author = {M Gebser and R Kaminski and B Kaufmann and T Schaub and M Schneider and S Ziller},
year = {2011},
pages = {352-357},
crossref = {lpnmr11},
keywords = {}
}
|
Gebser, M; Kaminski, R; Kaufmann, B; M, Ostrowski; Schaub, T; Schneider, M Potassco: The Potsdam Answer Set Solving Collection Journal Article In: AI Communications, vol. 24, no. 2, pp. 107-124, 2011. @article{gekakaosscsc11a,
title = {Potassco: The Potsdam Answer Set Solving Collection},
author = {M Gebser and R Kaminski and B Kaufmann and Ostrowski M and T Schaub and M Schneider},
year = {2011},
journal = {AI Communications},
volume = {24},
number = {2},
pages = {107-124},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Sequential Model-Based Optimization for General Algorithm Configuration Proceedings Article In: Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 5), pp. 507-523, 2011, (Best paper award (second prize).
SMAC, ROAR, and the instances used are available from the Automated Algorithm Configuration project page.
An extended version with additional details is available as UBC tech report
TR-2010-10. (pdf) (bib)). @inproceedings{HutHooLey11,
title = {Sequential Model-Based Optimization for General Algorithm Configuration},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2011},
booktitle = {Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 5)},
pages = {507-523},
keywords = {}
}
|
Delgrande, J; Faber, W (Ed.) Proceedings of the Eleventh International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'11) Proceedings Springer-Verlag, vol. 6645, 2011. @proceedings{lpnmr11,
title = {Proceedings of the Eleventh International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'11)},
editor = {J Delgrande and W Faber},
year = {2011},
booktitle = {Proceedings of the Eleventh International Conference on
Logic Programming and Nonmonotonic Reasoning (LPNMR'11)},
volume = {6645},
publisher = {Springer-Verlag},
series = {Lecture Notes in Artificial Intelligence},
keywords = {}
}
|
Möller, M; Schneider, M; Wegner, M; Schaub, T Centurio, a General Game Player: Parallel, Java- and ASP-based Journal Article In: Künstliche Intelligenz, vol. 25, no. 1, pp. 17-24, 2011. @article{moscwesc10a,
title = {Centurio, a General Game Player: Parallel, Java- and ASP-based},
author = {M Möller and M Schneider and M Wegner and T Schaub},
year = {2011},
journal = {Künstliche Intelligenz},
volume = {25},
number = {1},
pages = {17-24},
keywords = {}
}
|
2010
|
Hutter, F; Bartz-Beielstein, T; Hoos, H H; Leyton-Brown, K; Murphy, K P Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches Book Section In: Bartz-Beielstein, T; Chiarandini, M; Paquete, L; Preuss, M (Ed.): Empirical Methods for the Analysis of Optimization Algorithms, pp. 361–411, Springer, 2010. @incollection{HutBeiHooLey10,
title = {Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches},
author = {F Hutter and T Bartz-Beielstein and H H Hoos and K Leyton-Brown and K P Murphy},
editor = {T Bartz-Beielstein and M Chiarandini and L Paquete and M Preuss},
year = {2010},
booktitle = {Empirical Methods for the Analysis of Optimization Algorithms},
pages = {361--411},
publisher = {Springer},
chapter = {15},
keywords = {}
}
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Tradeoffs in the Empirical Evaluation of Competing Algorithm Designs Journal Article In: Annals of Mathematics and Artificial Intelligenc (AMAI), Special Issue on Learning and Intelligent Optimization, vol. 60, no. 1, pp. 65–89, 2010, (The data from this paper, as well as the empirical analysis tools we
introduced are available from the Automated Algorithm Configuration project
page.). @article{HutHooLey10,
title = {Tradeoffs in the Empirical Evaluation of Competing Algorithm Designs},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2010},
journal = {Annals of Mathematics and Artificial Intelligenc (AMAI), Special Issue on Learning and Intelligent Optimization},
volume = {60},
number = {1},
pages = {65--89},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Sequential Model-Based Optimization for General Algorithm Configuration (extended version) Technical Report University of British Columbia, Department of Computer Science no. TR-2010-10, 2010. @techreport{HutHooLey10c,
title = {Sequential Model-Based Optimization for General Algorithm Configuration (extended version)},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2010},
number = {TR-2010-10},
institution = {University of British Columbia, Department of Computer Science},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Automated Configuration of Mixed Integer Programming Solvers Proceedings Article In: Proceedings of the Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR), pp. 186-202, 2010, (Our webpage on Automated Configuration of MIP
solvers also gives the parameter files for CPLEX, Gurobi, and lpsolve.). @inproceedings{HutHooLey10b,
title = {Automated Configuration of Mixed Integer Programming Solvers},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2010},
booktitle = {Proceedings of the Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR)},
pages = {186-202},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Murphy, K P Time-Bounded Sequential Parameter Optimization Proceedings Article In: Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 4), 2010, (Runner-up for the best paper award). @inproceedings{HutHooLeyMur10,
title = {Time-Bounded Sequential Parameter Optimization},
author = {F Hutter and H H Hoos and K Leyton-Brown and K P Murphy},
year = {2010},
booktitle = {Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 4)},
keywords = {}
}
|
2009
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin; Stützle, Thomas ParamILS: An Automatic Algorithm Configuration Framework Journal Article In: Journal of Artificial Intelligence Research, vol. 36, pp. 267–306, 2009, (See the ParamILS project page for a lot of
experimental data for this paper (target algorithms, parameters, resulting
parameter configurations).
There's also a quick start guide available to help you apply ParamILS for
tuning your own algorithms.
There's also an older tech report about ParamILS, including additional
material (pdf)
(bib).). @article{HutHooLeyStu09a,
title = {ParamILS: An Automatic Algorithm Configuration Framework},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown and Thomas Stützle},
year = {2009},
journal = {Journal of Artificial Intelligence Research},
volume = {36},
pages = {267--306},
keywords = {}
}
|
Hutter, F Automated Configuration of Algorithms for Solving Hard Computational Problems PhD Thesis University of British Columbia, Department of Computer Science, 2009, (There are also slides from invited presentation at Canadian AI grad student
symposium.
2010 CAIAC Doctoral Dissertation Award for the best thesis in Artificial
Intelligence at a Canadian University completed in 2009.
See the Automated Algorithm Configuration project page for
a lot of experimental data (target algorithms, parameters, benchmark
instances, and configuration proceduers).). @phdthesis{Hutter09,
title = {Automated Configuration of Algorithms for Solving Hard Computational Problems},
author = {F Hutter},
year = {2009},
address = {Vancouver, Canada},
school = {University of British Columbia, Department of Computer Science},
keywords = {}
}
|
Hutter, F; de Oca, M A Montes (Ed.) SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms Proceedings IRIDIA, Université Libre de Bruxelles, Brussels, Belgium 2009. @proceedings{HutOca09,
title = {SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms},
editor = {F Hutter and M ~A Montes~de~Oca},
year = {2009},
organization = {IRIDIA, Université Libre de Bruxelles, Brussels, Belgium},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Murphy, K P An Experimental Investigation of Model-Based Parameter Optimisation: SPO and Beyond Proceedings Article In: Proceedings of the 11th annual conference on Genetic and evolutionary computation (GECCO '09), pp. 271–278, 2009. @inproceedings{HutHooLeyMur09,
title = {An Experimental Investigation of Model-Based Parameter Optimisation: SPO and Beyond},
author = {F Hutter and H H Hoos and K Leyton-Brown and K P Murphy},
year = {2009},
booktitle = {Proceedings of the 11th annual conference on Genetic and evolutionary computation (GECCO '09)},
pages = {271--278},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Stützle, T ParamILS: An Automatic Algorithm Configuration Framework Technical Report University of British Columbia no. TR-2009-01, 2009. @techreport{HutHooLeyStu09b,
title = {ParamILS: An Automatic Algorithm Configuration Framework},
author = {F Hutter and H H Hoos and K Leyton-Brown and T Stützle},
year = {2009},
number = {TR-2009-01},
institution = {University of British Columbia},
keywords = {}
}
|
Xu, L; Hutter, F; Hoos, H; Leyton-Brown, K SATzilla2009: an Automatic Algorithm Portfolio for SAT Unpublished 2009, (Solver description, SAT competition 2009Solver description for the 2009 SAT competition. SATzilla2009 won 3 gold and 2
silver medals in that competition. See the SATzilla project page for details and
source code.). @unpublished{XuHutHooLey09,
title = {SATzilla2009: an Automatic Algorithm Portfolio for SAT},
author = {L Xu and F Hutter and H Hoos and K Leyton-Brown},
year = {2009},
keywords = {}
}
|
2008
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin SATzilla: Portfolio-based Algorithm Selection for SAT Journal Article In: Journal of Artificial Intelligence Research, vol. 32, pp. 565–606, 2008, (2010 IJCAI/JAIR Best Paper Prize for the period 2005-2009.
See the SATzilla project page for details and
source code.). @article{XuHutHooLey08,
title = {SATzilla: Portfolio-based Algorithm Selection for SAT},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2008},
journal = {Journal of Artificial Intelligence Research},
volume = {32},
pages = {565--606},
keywords = {}
}
|
2007
|
Hutter, Frank; Babic, Domagoj; Hoos, Holger H; Hu, Alan J Boosting Verification by Automatic Tuning of Decision Proceedingsdures Proceedings Article In: Proceedings of Formal Methods in Computer Aided Design (FMCAD'07), pp. 27–34, IEEE Computer Society, Washington, DC, USA, 2007, (With the tuning discussed in this paper Domagoj's solver Spear won the QF_BV
(Quantifier-Free Bit Vector) category of the 2007 Satisfiability Modulo
Theories Competition.). @inproceedings{HutBabHooHu07,
title = {Boosting Verification by Automatic Tuning of Decision Proceedingsdures},
author = {Frank Hutter and Domagoj Babic and Holger H Hoos and Alan J Hu},
year = {2007},
booktitle = {Proceedings of Formal Methods in Computer Aided Design (FMCAD'07)},
pages = {27--34},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {}
}
|
Hutter, Frank On the Potential of Automatic Algorithm Configuration Proceedings Article In: Proceedings of the Doctoral Symposium on Engineering Stochastic Local Search Algorithms (SLS-DS)., 2007, (Best poster award (voted by the attendees of SLS 07).). @inproceedings{Hutter07,
title = {On the Potential of Automatic Algorithm Configuration},
author = {Frank Hutter},
year = {2007},
booktitle = {Proceedings of the Doctoral Symposium on Engineering Stochastic Local Search Algorithms (SLS-DS).},
keywords = {}
}
|
Xu, L; Hutter, F; Hoos, H H; Leyton-Brown, K SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT Proceedings Article In: Principles and Practice of Constraint Programming (CP'07), 2007, (SATzilla won 3 gold medals, 1 silver and 1 bronze in the 2007 SAT
competition! It is available for download
from the SATzilla website.). @inproceedings{XuHutHooLey07b,
title = {SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT},
author = {L Xu and F Hutter and H H Hoos and K Leyton-Brown},
year = {2007},
booktitle = {Principles and Practice of Constraint Programming (CP'07)},
keywords = {}
}
|
Hutter, F; Hoos, H; Stützle, T Automatic Algorithm Configuration based on Local Search Proceedings Article In: Proceedings of the Twenty-Second Conference on Artifical Intelligence (AAAI '07), pp. 1152–1157, 2007, (The ParamILS algorithm introduced in this paper is available for download from
the ParamILS website. There's also a quick start guide available to help you apply it for
tuning your own algorithms.). @inproceedings{HutHooStu07,
title = {Automatic Algorithm Configuration based on Local Search},
author = {F Hutter and H Hoos and T Stützle},
year = {2007},
booktitle = {Proceedings of the Twenty-Second Conference on Artifical Intelligence (AAAI '07)},
pages = {1152--1157},
keywords = {}
}
|
Babić, D; Hutter, F SPEAR Theorem Prover Miscellaneous 2007, (Solver description, SAT competitionSPEAR is a new tree search algorithm with 25 free parameters. I tuned it
(using the techniques from the AAAI-07 paper on ParamILS), getting a 30%
speedup; for software verification, my parameter settings beat the default by
a factor of 50!). @misc{BabHut07,
title = {SPEAR Theorem Prover},
author = {D Babić and F Hutter},
year = {2007},
keywords = {}
}
|
Tompkins, Dave; Hutter, Frank; H, Holger; Hoos, Scaling and Probabilistic Smoothing (SAPS) Miscellaneous 2007, (SAPS is unchanged from last year, but I got a tenfold speedup by automated
parameter tuning (using the techniques from the AAAI-07 ParamILS paper)). @misc{TomHutHoo07,
title = {Scaling and Probabilistic Smoothing (SAPS)},
author = {Dave Tompkins and Frank Hutter and Holger H and Hoos},
year = {2007},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-brown, Kevin SATzilla2007: a new & improved algorithm portfolio for SAT Miscellaneous 2007, (In a nutshell, SATzilla predicts the runtime of each solver in the portfolio
and picks the most promising one.
SATzilla2007 won 3 gold medals, 1 silver and 1 bronze! See the SAT competition
webpage for details.). @misc{XuHutHooLey07a,
title = {SATzilla2007: a new & improved algorithm portfolio for SAT},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-brown},
year = {2007},
keywords = {}
}
|
2006
|
Hutter, F; Hamadi, Y; Hoos, H H; Leyton-Brown, K Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms Proceedings Article In: Principles and Practice of Constraint Programming (CP'06), pp. 213–228, 2006, (All our experimental data for this paper, as well as our Matlab code, is
available on the Empirical Hardness Models project
page.). @inproceedings{HutHamHooLey06b,
title = {Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms},
author = {F Hutter and Y Hamadi and H H Hoos and K Leyton-Brown},
year = {2006},
booktitle = {Principles and Practice of Constraint Programming (CP'06)},
pages = {213--228},
keywords = {}
}
|
Hutter, Frank Automated Algorithm Configuration Based on Machine Learning Miscellaneous 2006. @misc{Hutter06,
title = {Automated Algorithm Configuration Based on Machine Learning},
author = {Frank Hutter},
year = {2006},
keywords = {}
}
|
2005
|
Hutter, Frank; Hamadi, Youssef Parameter Adjustment Based on Performance Prediction: Towards an Instance-Aware Problem Solver Technical Report Microsoft Research Cambridge, UK, no. MSR-TR-2005-125, 2005, (Slides from a talk I gave at the Cork Constraint Computation Centre (4C)
Slides from a talk I gave in the Lab for Computational Intelligence at UBC). @techreport{HutHam05,
title = {Parameter Adjustment Based on Performance Prediction: Towards an Instance-Aware Problem Solver},
author = {Frank Hutter and Youssef Hamadi},
year = {2005},
number = {MSR-TR-2005-125},
pages = {58},
address = {Cambridge, UK},
institution = {Microsoft Research},
keywords = {}
}
|
Hutter, Frank; Hoos, Holger H; Stützle, Thomas Efficient Stochastic Local Search for MPE Solving Proceedings Article In: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), pp. 169–174, 2005, (My solver GLS+ and the test instances we used are available on our MPE page. The solver can read
general factor graphs, i.e. Bayes nets (in BNT format), MRFs, CRFs, etc.
There's also a nice Matlab interface.). @inproceedings{HutHooStu05,
title = {Efficient Stochastic Local Search for MPE Solving},
author = {Frank Hutter and Holger H Hoos and Thomas Stützle},
year = {2005},
booktitle = {Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05)},
pages = {169--174},
keywords = {}
}
|
2004
|
Hutter, Frank Stochastic Local Search for Solving the Most Probable Explanation Problem in Bayesian Networks Masters Thesis Darmstadt University of Technoloy, 2004, (Supervisor: Thomas Stützle, Cosupervisor: Holger Hoos; My solver GLS+ and most
of the test instances I used are available on our MPE page.). @mastersthesis{Hutter04,
title = {Stochastic Local Search for Solving the Most Probable Explanation Problem in Bayesian Networks},
author = {Frank Hutter},
year = {2004},
school = {Darmstadt University of Technoloy},
keywords = {}
}
|
Hutter, Frank; Ng, Brenda; Dearden, Richard Incremental Thin Junction Trees for Dynamic Bayesian Networks Technical Report Intellectics Group, Darmstadt University of Technology no. TR-AIDA-04-01, 2004. @techreport{HutBreDea04,
title = {Incremental Thin Junction Trees for Dynamic Bayesian Networks},
author = {Frank Hutter and Brenda Ng and Richard Dearden},
year = {2004},
number = {TR-AIDA-04-01},
institution = {Intellectics Group, Darmstadt University of Technology},
keywords = {}
}
|
Dearden, Richard; Willeke, Thomas; Hutter, Frank; Simmons, Reid; Verma, Vandi; Thrun, Sebastian Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task Proceedings Article In: In Proceedings of IEEE Aerospace Conference, 2004, pp. 826–840, IEEE Press, 2004, (Check out my GPF webpage
for the particle filtering code.). @inproceedings{DeaEtAl04,
title = {Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task},
author = {Richard Dearden and Thomas Willeke and Frank Hutter and Reid Simmons and Vandi Verma and Sebastian Thrun},
year = {2004},
booktitle = {In Proceedings of IEEE Aerospace Conference, 2004},
pages = {826--840},
publisher = {IEEE Press},
keywords = {}
}
|
de Freitas, Nando; Dearden, Richard; Hutter, Frank; Morales-Menendez, Ruben; Mutch, Jim; Poole, David Diagnosis by a Waiter and a Mars Explorer Journal Article In: Proceedings of the IEEE, vol. 92, no. 4, pp. 139-144, 2004, (Check out my GPF webpage
for the particle filtering code used for the rover examples.). @article{FreEtAl04,
title = {Diagnosis by a Waiter and a Mars Explorer},
author = {Nando de Freitas and Richard Dearden and Frank Hutter and Ruben Morales-Menendez and Jim Mutch and David Poole},
year = {2004},
journal = {Proceedings of the IEEE},
volume = {92},
number = {4},
pages = {139-144},
keywords = {}
}
|
Andronescu, M; Fejes, A P; Hutter, F; Hoos, H H; Condon, A A new algorithm for RNA secondary structure design Journal Article In: Journal of Molecular Biology, vol. 336, no. 3, pp. 607–624, 2004, (Check out the free RNA Designer Software at ). @article{FejEtAl04,
title = {A new algorithm for RNA secondary structure design},
author = {M Andronescu and A P Fejes and F Hutter and H H Hoos and A Condon},
year = {2004},
journal = {Journal of Molecular Biology},
volume = {336},
number = {3},
pages = {607--624},
keywords = {}
}
|
2003
|
Hutter, Frank; Dearden, Richard The Gaussian Particle Filter for Diagnosis of Non-Linear Systems Proceedings Article In: Proceedings of the 14th International Conference on Principles of Diagnosis(DX03), pp. 5–70, 2003, (Check out my GPF webpage
for the Gaussian particle filtering code.). @inproceedings{HutDea03a,
title = {The Gaussian Particle Filter for Diagnosis of Non-Linear Systems},
author = {Frank Hutter and Richard Dearden},
year = {2003},
booktitle = {Proceedings of the 14th International Conference on Principles of Diagnosis(DX03)},
pages = {5--70},
keywords = {}
}
|
Hutter, Frank; Dearden, Richard Efficient On-line Fault Diagnosis for Non-Linear Systems Proceedings Article In: Seventh International Symposium on Artificial Intelligence and Robotics in Space (i-SAIRAS-03), 2003, (Check out my GPF webpage
for the Gaussian particle filtering code.). @inproceedings{HutDea03b,
title = {Efficient On-line Fault Diagnosis for Non-Linear Systems},
author = {Frank Hutter and Richard Dearden},
year = {2003},
booktitle = {Seventh International Symposium on Artificial Intelligence and Robotics in Space (i-SAIRAS-03)},
keywords = {}
}
|
2002
|
Hutter, F; Tompkins, D A D; Hoos, H H Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT Proceedings Article In: Hentenryck, Pascal (Ed.): Principles and Practice of Constraint Programming - CP 2002, pp. 233-248, Springer Berlin Heidelberg, 2002, (Check out the DLS for SAT webpage,
maintained by Dave.). @inproceedings{HutTomHoo02,
title = {Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT},
author = {F Hutter and D A D Tompkins and H H Hoos},
editor = {Pascal Hentenryck},
year = {2002},
booktitle = {Principles and Practice of Constraint Programming - CP 2002},
volume = {2470},
pages = {233-248},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Andronescu, M; Fejes, A P; Hutter, F; Hoos, H H; Condon, A A New SLS Algorithm for RNA Secondary Structure Design Technical Report Department of Computer Science, University of British Columbia no. TR-2002-10, 2002, (Available as a postscript file.
Check out the free RNA Designer Software at http://www.rnasoft.ca/). @techreport{FejEtAl02,
title = {A New SLS Algorithm for RNA Secondary Structure Design},
author = {M Andronescu and A P Fejes and F Hutter and H H Hoos and A Condon},
year = {2002},
number = {TR-2002-10},
institution = {Department of Computer Science, University of British Columbia},
keywords = {}
}
|
