2022
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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 = {}
}
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2020
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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 Inproceedings 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 = {}
}
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2019
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Gargiani, M; Klein, A; Falkner, S; Hutter, F Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings Inproceedings 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 = {}
}
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Runge, Frederic; Stoll, Danny; Falkner, Stefan; Hutter, Frank Learning to Design RNA Inproceedings 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 = {}
}
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2018
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Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Inproceedings 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 = {}
}
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Falkner, Stefan; Klein, Aaron; Hutter, Frank BOHB: Robust and Efficient Hyperparameter Optimization at Scale Inproceedings 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 = {}
}
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Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank Practical Automated Machine Learning for the AutoML Challenge 2018 Inproceedings 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 = {}
}
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2017
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Klein, A; Falkner, S; Mansur, N; Hutter, F RoBO: A Flexible and Robust Bayesian Optimization Framework in Python Inproceedings 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 = {}
}
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Falkner, S; Klein, A; Hutter, F Combining Hyperband and Bayesian Optimization Inproceedings 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 = {}
}
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Klein, A; Falkner, S; Springenberg, J T; Hutter, F Learning Curve Prediction with Bayesian Neural Networks Inproceedings 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 = {}
}
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Klein, A; Falkner, S; Bartels, S; Hennig, P; Hutter, F Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Inproceedings 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 Inproceedings 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 = {}
}
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2016
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Springenberg, J T; Klein, A; Falkner, S; Hutter, F Bayesian optimization with robust Bayesian neural networks Inproceedings 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 = {}
}
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2015
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Klein, A; Bartels, S; Falkner, S; Hennig, P; Hutter, F Towards efficient Bayesian Optimization for Big Data Inproceedings 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 = {}
}
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Falkner, S; Lindauer, M; Hutter, F SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers Inproceedings 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 = {}
}
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