| Coresets via bilevel optimization for continual learning and streaming Z Borsos, M Mutný, A Krause NeurIPS 2020, 2020 | 245 | 2020 |
| 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 | 184 | 2019 |
| 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 | 168 | 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 | 125 | 2020 |
| Efficient high dimensional bayesian optimization with additivity and quadrature fourier features M Mutny, A Krause Advances in Neural Information Processing Systems 31, 2018 | 51 | 2018 |
| Efficient pure exploration for combinatorial bandits with semi-bandit feedback M Jourdan, M Mutný, J Kirschner, A Krause Algorithmic Learning Theory, 805-849, 2021 | 36 | 2021 |
| 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 | 35 | 2022 |
| 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 | 29* | 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 | 28 | 2019 |
| 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 | 19 | 2022 |
| Active exploration via experiment design in markov chains M Mutny, T Janik, A Krause International Conference on Artificial Intelligence and Statistics, 7349-7374, 2023 | 18 | 2023 |
| Submodular reinforcement learning M Prajapat, M Mutný, MN Zeilinger, A Krause arXiv preprint arXiv:2307.13372, 2023 | 15 | 2023 |
| No-regret algorithms for capturing events in poisson point processes M Mutny, A Krause International Conference on Machine Learning, 7894-7904, 2021 | 14 | 2021 |
| Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L Treven, S Curi, M Mutny, A Krause L4DC 2021, 2020 | 14* | 2020 |
| Experimental design for linear functionals in reproducing kernel hilbert spaces M Mutny, A Krause Advances in Neural Information Processing Systems 35, 20175-20188, 2022 | 11 | 2022 |
| Parallel Stochastic Newton Method M Mutný, P Richtárik J. Comp. Math. 36, 426-440, 2018 | 11 | 2018 |
| Likelihood ratio confidence sets for sequential decision making N Emmenegger, M Mutny, A Krause Advances in Neural Information Processing Systems 36, 26686-26698, 2023 | 10 | 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 | 10 | 2020 |
| Stochastic second-order optimization via von Neumann series M Mutny arXiv preprint arXiv:1612.04694, 2016 | 10 | 2016 |
| Enhanced sequence-activity mapping and evolution of artificial metalloenzymes by active learning T Vornholt, M Mutný, GW Schmidt, C Schellhaas, R Tachibana, S Panke, ... ACS Central Science 10 (7), 1357-1370, 2024 | 9 | 2024 |
Andreas KrauseProfessor of Computer Science, ETH ZurichAdresse e-mail validée de inf.ethz.ch