2024
|
Ferreira, Fabio; Schlageter, Moreno; Rajan, Raghu; Biedenkapp, André; Hutter, Frank One-shot World Models Using a Transformer Trained on a Synthetic Prior Inproceedings 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 = {}
}
|
Ndir, Tidiane Camaret; Biedenkapp, André; Awad, Noor Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Inproceedings 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 = {}
}
|
Bordne, Philipp; Hasan, M. Asif; Bergman, Eddie; Awad, Noor; Biedenkapp, André CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC Inproceedings 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 = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Inproceedings 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
2023
|
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 = {}
}
|
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 = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings 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 = {}
}
|
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 = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif AutoRL-Bench 1.0 Inproceedings 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 Inproceedings 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 = {}
}
|
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 = {}
}
|
Sass, René; Bergman, Eddie; Biedenkapp, André; Hutter, Frank; Lindauer, Marius DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning Inproceedings 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 Inproceedings 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 = {}
}
|
Biedenkapp, André; Speck, David; Sievers, Silvan; Hutter, Frank; Lindauer, Marius; Seipp, Jendrik Learning Domain-Independent Policies for Open List Selection Inproceedings 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
2021
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning Inproceedings 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 = {}
}
|
Eimer, Theresa; Biedenkapp, André; Reimer, Maximilian; Adriaensen, Steven; Hutter, Frank; Lindauer, Marius DACBench: A Benchmark Library for Dynamic Algorithm Configuration Inproceedings 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 Inproceedings 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 = {}
}
|
Eimer, Theresa; Biedenkapp, André; Hutter, Frank; Lindauer, Marius Self-Paced Context Evaluations for Contextual Reinforcement Learning Inproceedings 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 Inproceedings 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 = {}
}
|
Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius TempoRL: Learning When to Act Inproceedings 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 = {}
}
|
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 Inproceedings 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 = {}
}
|
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 = {}
}
|
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 Inproceedings 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; Biedenkapp, André; Hutter, Frank In-Loop Meta-Learning with Gradient-Alignment Reward Inproceedings 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 = {}
}
|
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 = {}
}
|
Speck, David; Biedenkapp, André; Hutter, Frank; Mattmüller, Robert; Lindauer, Marius Learning Heuristic Selection with Dynamic Algorithm Configuration Inproceedings 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 = {}
}
|
Shala, Gresa; Biedenkapp, André; Awad, Noor; Adriaensen, Steven; Lindauer, Marius; Hutter, Frank Learning Step-Size Adaptation in CMA-ES Inproceedings 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 Inproceedings 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 Inproceedings 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 Inproceedings 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 = {}
}
|
2019
|
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 Inproceedings 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 = {}
}
|
Biedenkapp, André; Bozkurt, Furkan H; Hutter, Frank; Lindauer, Marius Towards White-box Benchmarks for Algorithm Control Inproceedings 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 = {}
}
|
2018
|
Biedenkapp, André; Marben, Joshua; Lindauer, Marius; Hutter, Frank CAVE: Configuration Assessment, Visualization and Evaluation Inproceedings 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 = {}
}
|
2017
|
Biedenkapp, André; Lindauer, Marius; Eggensperger, Katharina; Fawcett, Chris; Hoos, Holger H; Hutter, Frank Efficient Parameter Importance Analysis via Ablation with Surrogates Inproceedings 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 = {}
}
|
