| 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), 1-9, 2022 | 187* | 2022 |
| On the Importance of Hyperparameter Optimization for Model-Based Reinforcement Learning B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ... International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021 | 68 | 2021 |
| Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework A Biedenkapp, HF Bozkurt, T Eimer, F Hutter, M Lindauer European Conference on Artificial Intelligence (ECAI'20) 24, 427-434, 2020 | 48 | 2020 |
| 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), 773-779, 2017 | 42 | 2017 |
| 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 | 36 | 2019 |
| 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 | 32 | 2022 |
| CAVE: Configuration Assessment, Visualization and Evaluation A Biedenkapp, J Marben, M Lindauer, F Hutter Learning and Intelligent Optimization (LION'18) 12, 115-130, 2018 | 32 | 2018 |
| Sample-Efficient Automated Deep Reinforcement Learning JKH Franke, G Köhler, A Biedenkapp, F Hutter International Conference on Learning Representations (ICLR'21) 9, 2021 | 26 | 2021 |
| TempoRL: Learning When to Act A Biedenkapp, R Rajan, F Hutter, M Lindauer International Conference on Machine Learning (ICML'21) 38, 914-924, 2021 | 23* | 2021 |
| Bag of Baselines for Multi-Objective Joint Neural Architecture Search and Hyperparameter Optimization S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ... 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | 21* | 2021 |
| Learning Heuristic Selection with Dynamic Algorithm Configuration D Speck*, A Biedenkapp*, F Hutter, R Mattmüller, M Lindauer International Conference on Automated Planning and Scheduling (ICAPS'21) 31 …, 2021 | 19 | 2021 |
| 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 (PPSN'20 …, 2020 | 19 | 2020 |
| Self-Paced Context Evaluation for Contextual Reinforcement Learning T Eimer, A Biedenkapp, F Hutter, M Lindauer International Conference on Machine Learning (ICML'21), 2948-2958, 2021 | 14 | 2021 |
| DACBench: A Benchmark Library for Dynamic Algorithm Configuration T Eimer, A Biedenkapp, M Reimer, S Adriaensen, F Hutter, M Lindauer International Joint Conference on Artificial Intelligence (IJCAI'21) 30 …, 2021 | 13 | 2021 |
| Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters M Lindauer, M Feurer, K Eggensperger, A Biedenkapp, F Hutter Data Science Meets Optimisation Workshop (DSO@IJCAI'19), 2019 | 13 | 2019 |
| CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C Benjamins, T Eimer, F Schubert, A Biedenkapp, B Rosenhahn, F Hutter, ... Workshop on Ecological Theory of Reinforcement Learning (EcoRL@NeurIPS'21), 2021 | 11 | 2021 |
| Towards White-Box Benchmarks for Algorithm Control A Biedenkapp, HF Bozkurt, F Hutter, M Lindauer Data Science Meets Optimisation Workshop (DSO@IJCAI'19), 2019 | 8* | 2019 |
| Automated Dynamic Algorithm Configuration S Adriaensen, A Biedenkapp, G Shala, N Awad, T Eimer, M Lindauer, ... Journal of Artificial Intelligence Research 75, 1633-1699, 2022 | 7 | 2022 |
| Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... NeurIPS 2020 BBO challenge, 2020 | 5* | 2020 |
| MDP playground: A design and debug testbed for reinforcement learning R Rajan, JLB Diaz, S Guttikonda, F Ferreira, A Biedenkapp, JO von Hartz, ... arXiv preprint arXiv:1909.07750, 2019 | 5* | 2019 |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
