2023
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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 Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), 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 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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; 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 = {}
}
|
Hvarfner, Carl; Stoll, Danny; Souza, Artur; Lindauer, Marius; Hutter, Frank; Nardi, Luigi πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Inproceedings 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 = {}
}
|
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 = {}
}
|
Mallik, Neeratyoy; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Bergman, Eddie; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: HyperBand + Human Expert Knowledge Inproceedings 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 = {}
}
|
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 = {}
}
|
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 Inproceedings 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 = {}
}
|
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 = {}
}
|
Kadra, Arlind; Lindauer, Marius; Hutter, Frank; Grabocka, Josif Well-tuned Simple Nets Excel on Tabular Datasets Inproceedings 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 = {}
}
|
Souza, Artur; Nardi, Luigi; Oliveira, Leonardo; Olukotun, Kunle; Lindauer, Marius; Hutter, Frank Bayesian Optimization with a Prior for the Optimum Inproceedings 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
Fuks, L; Awad, N; Hutter, F; Lindauer, M An Evolution Strategy with Progressive Episode Lengths for Playing Games Inproceedings 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 N Awad and F Hutter and M Lindauer},
year = {2019},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19)},
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 Incollection 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank Neural Networks for Predicting Algorithm Runtime Distributions Inproceedings 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 = {}
}
|
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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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 = {}
}
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Lindauer, M; Hutter, F Warmstarting of Model-based Algorithm Configuration Inproceedings 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 = {}
}
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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 = {}
}
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2017
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Lindauer, Marius; van Rijn, Jan N; Kotthoff, Lars Open Algorithm Selection Challenge 2017: Setup and Scenarios Inproceedings 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 = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) Inproceedings 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 = {}
}
|
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; 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 = {}
}
|
Wagner, M; Friedrich, T; Lindauer, M Improving local search in a minimum vertex cover solver for classes of networks Inproceedings 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 = {}
}
|
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 = {}
}
|
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 = {}
}
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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 = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Leyton-Brown, K Selection and Configuration of Parallel Portfolios Incollection 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 = {}
}
|
2016
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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 = {}
}
|
Manthey, N; Lindauer, M SpyBug: Automated Bug Detection in the Configuration Space of SAT Solvers Inproceedings 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 = {}
}
|
2015
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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 = {}
}
|
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 = {}
}
|
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 Inproceedings 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 Inproceedings 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 = {}
}
|
2014
|
Hutter, Frank; López-Ibáñez, Manuel; Fawcett, Chris; Lindauer, Marius; Hoos, Holger; Leyton-Brown, Kevin; Stützle, Thomas AClib: a Benchmark Library for Algorithm Configuration Inproceedings 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 = {}
}
|
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 = {}
}
|
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 = {}
}
|
