| Smac v3: Algorithm configuration in python M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ... URL https://github. com/automl/SMAC3, 2017 | 43* | 2017 |
| Efficient parameter importance analysis via ablation with surrogates A Biedenkapp, M Lindauer, K Eggensperger, F Hutter, C Fawcett, H Hoos Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 22 | 2017 |
| CAVE: Configuration Assessment, Visualization and Evaluation A Biedenkapp, J Marben, M Lindauer, F Hutter LION12, 2018 | 11 | 2018 |
| BOAH: A tool suite for multi-fidelity bayesian optimization & analysis of hyperparameters M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, J Marben, ... arXiv preprint arXiv:1908.06756, 2019 | 9 | 2019 |
| Dynamic algorithm configuration: foundation of a new meta-algorithmic framework A Biedenkapp, HF Bozkurt, T Eimer, F Hutter, M Lindauer Proceedings of the Twenty-fourth European Conference on Artificial …, 2020 | 5 | 2020 |
| Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters M Lindauer, M Feurer, K Eggensperger, A Biedenkapp, F Hutter arXiv preprint arXiv:1908.06674, 2019 | 2 | 2019 |
| Sample-Efficient Automated Deep Reinforcement Learning JKH Franke, G Köhler, A Biedenkapp, F Hutter arXiv preprint arXiv:2009.01555, 2020 | 1 | 2020 |
| Towards TempoRL: Learning When to Act A Biedenkapp, R Rajan, F Hutter, M Lindauer Workshop on Inductive Biases, Invariances and Generalization in …, 2020 | 1 | 2020 |
| Towards White-box Benchmarks for Algorithm Control A Biedenkapp, HF Bozkurt, F Hutter, M Lindauer arXiv preprint arXiv:1906.07644, 2019 | 1 | 2019 |
| Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020 | | 2020 |
| Learning Step-Size Adaptation in CMA-ES G Shala, A Biedenkapp, N Awad, S Adriaensen, M Lindauer, F Hutter International Conference on Parallel Problem Solving from Nature, 691-706, 2020 | | 2020 |
| Learning Heuristic Selection with Dynamic Algorithm Configuration D Speck, A Biedenkapp, F Hutter, R Mattmüller, M Lindauer arXiv preprint arXiv:2006.08246, 2020 | | 2020 |
| Towards Self-Paced Context Evaluation for Contextual Reinforcement Learning T Eimer, A Biedenkapp, F Hutter, M Lindauer | | |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
