| Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023 | 1139 | 2023 |
| Auto-sklearn 2.0: Hands-free automl via meta-learning M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter Journal of Machine Learning Research (JMLR), 2022 | 737* | 2022 |
| Potassco: The Potsdam answer set solving collection M Gebser, B Kaufmann, R Kaminski, M Ostrowski, T Schaub, M Schneider AI Communications 24 (2), 107-124, 2011 | 672 | 2011 |
| SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... J. Mach. Learn. Res. 23, 54:1-54:9, 2022 | 642 | 2022 |
| Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL. L Zimmer, M Lindauer, F Hutter IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3079 …, 2021 | 372 | 2021 |
| Well-tuned Simple Nets Excel on Tabular Datasets A Kadra, M Lindauer, F Hutter, J Grabocka Advances in Neural Information Processing Systems 34, 2021 | 370* | 2021 |
| Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016 | 336 | 2016 |
| AutoFolio: an automatically configured algorithm selector M Lindauer, HH Hoos, F Hutter, T Schaub Journal of Artificial Intelligence Research 53, 745-778, 2015 | 218 | 2015 |
| Best practices for scientific research on neural architecture search M Lindauer, F Hutter Journal of Machine Learning Research 21 (243), 1-18, 2020 | 185 | 2020 |
| Automated reinforcement learning (autorl): A survey and open problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022 | 165 | 2022 |
| Practical automated machine learning for the automl challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter International Workshop on Automatic Machine Learning at ICML, 1189-1232, 2018 | 136 | 2018 |
| HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ... NeurIPS Track Datasets and Benchmarks, 2021 | 131 | 2021 |
| Hyperparameters in Reinforcement Learning and How To Tune Them T Eimer, M Lindauer, R Raileanu International Conference On Machine Learning (ICML), 2023 | 124 | 2023 |
| Explaining Hyperparameter Optimization via Partial Dependence Plots J Moosbauer, J Herbinger, G Casalicchio, M Lindauer, B Bischl Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 119 | 2021 |
| AClib: A benchmark library for algorithm configuration F Hutter, M López-Ibánez, C Fawcett, M Lindauer, HH Hoos, ... International Conference on Learning and Intelligent Optimization, 36-40, 2014 | 115 | 2014 |
| A portfolio solver for answer set programming: Preliminary report M Gebser, R Kaminski, B Kaufmann, T Schaub, MT Schneider, S Ziller International Conference on Logic Programming and Nonmonotonic Reasoning …, 2011 | 113 | 2011 |
| claspfolio 2: Advances in Algorithm Selection for Answer Set Programming H Hoos, M Lindauer, T Schaub Theory and Practice of Logic Programming 14 (Special Issue 4-5), 569--585, 2014 | 112 | 2014 |
| Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework A Biedenkapp, HF Bozkurt, T Eimer, F Hutter, M Lindauer European Conference on AI (ECAI), 2020 | 109 | 2020 |
| Potassco User Guide M Gebser, R Kaminski, B Kaufmann, M Lindauer, M Ostrowski, J Romero, ... Institute for Informatics, University of Potsdam, second edition edition, 2015 | 107* | 2015 |
| BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization C Hvarfner, D Stoll, A Souza, L Nardi, M Lindauer, F Hutter International Conference on Learning Representations, 2022 | 100 | 2022 |
Frank HutterPrior Labs; ELLIS Institute Tübingen; University of FreiburgVerified email at cs.uni-freiburg.de
