| Coresets via bilevel optimization for continual learning and streaming Z Borsos, M Mutný, A Krause NeurIPS 2020, 2020 | 352 | 2020 |
| Efficient high dimensional bayesian optimization with additivity and quadrature fourier features M Mutný, A Krause Advances in Neural Information Processing Systems 31, 9005-9016, 2019 | 234 | 2019 |
| Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces J Kirschner, M Mutný, N Hiller, R Ischebeck, A Krause ICML 2019, 2019 | 217 | 2019 |
| Makesense: Automated sensor design for proprioceptive soft robots J Tapia, E Knoop, M Mutný, MA Otaduy, M Bächer Soft robotics 7 (3), 332-345, 2020 | 146 | 2020 |
| Tuning particle accelerators with safety constraints using Bayesian optimization J Kirschner, M Mutný, A Krause, J Coello de Portugal, N Hiller, ... Physical Review Accelerators and Beams 25 (6), 062802, 2022 | 46 | 2022 |
| Efficient pure exploration for combinatorial bandits with semi-bandit feedback M Jourdan, M Mutný, J Kirschner, A Krause Algorithmic Learning Theory, 805-849, 2021 | 44 | 2021 |
| Submodular reinforcement learning M Prajapat, M Mutný, MN Zeilinger, A Krause arXiv preprint arXiv:2307.13372, 2023 | 32 | 2023 |
| Convergence analysis of block coordinate algorithms with determinantal sampling M Mutny, M Derezinski, A Krause International Conference on Artificial Intelligence and Statistics, 3110-3120, 2020 | 32 | 2020 |
| Bayesian optimisation for fast and safe parameter tuning of swissfel J Kirschner, M Nonnenmacher, M Mutný, A Krause, N Hiller, R Ischebeck, ... FEL2019, Proceedings of the 39th International Free-Electron Laser …, 2019 | 31 | 2019 |
| Active exploration via experiment design in markov chains M Mutny, T Janik, A Krause International Conference on Artificial Intelligence and Statistics, 7349-7374, 2023 | 26 | 2023 |
| Enhanced sequence-activity mapping and evolution of artificial metalloenzymes by active learning T Vornholt, M Mutny, GW Schmidt, C Schellhaas, R Tachibana, S Panke, ... ACS Central Science 10 (7), 1357-1370, 2024 | 24 | 2024 |
| Diversified sampling for batched Bayesian optimization with determinantal point processes E Nava, M Mutny, A Krause International Conference on Artificial Intelligence and Statistics, 7031-7054, 2022 | 24 | 2022 |
| Enriching productive mutational paths accelerates enzyme evolution D Patsch, T Schwander, M Voss, D Schaub, S Hüppi, M Eichenberger, ... Nature Chemical Biology 20 (12), 1662-1669, 2024 | 19 | 2024 |
| No-regret algorithms for capturing events in poisson point processes M Mutny, A Krause International Conference on Machine Learning, 7894-7904, 2021 | 17 | 2021 |
| Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L Treven, S Curi, M Mutny, A Krause L4DC 2021, 2020 | 17* | 2020 |
| Data summarization via bilevel optimization Z Borsos, M Mutný, M Tagliasacchi, A Krause Journal of Machine Learning Research 25 (73), 1-53, 2024 | 14 | 2024 |
| Experimental design for linear functionals in reproducing kernel hilbert spaces M Mutny, A Krause Advances in Neural Information Processing Systems 35, 20175-20188, 2022 | 13 | 2022 |
| Transition constrained Bayesian optimization via Markov decision processes JP Folch, C Tsay, R Lee, B Shafei, W Ormaniec, A Krause, M van der Wilk, ... Advances in Neural Information Processing Systems 37, 88194-88235, 2024 | 12 | 2024 |
| Likelihood ratio confidence sets for sequential decision making N Emmenegger, M Mutny, A Krause Advances in Neural Information Processing Systems 36, 26686-26698, 2023 | 12 | 2023 |
| Experimental Design for Optimization of Orthogonal Projection Pursuit Models M Mutny, J Kirschner, K Andreas Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 | 12 | 2020 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
