Mojmír Mutný
Mojmír Mutný
PhD student at ETH Zurich
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Cited by
Cited by
Efficient high dimensional bayesian optimization with additivity and quadrature fourier features
M Mutny, A Krause
Advances in Neural Information Processing Systems 31, 2018
Coresets via bilevel optimization for continual learning and streaming
Z Borsos, M Mutný, A Krause
NeurIPS 2020, 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
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
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
Efficient pure exploration for combinatorial bandits with semi-bandit feedback
M Jourdan, M Mutný, J Kirschner, A Krause
Algorithmic Learning Theory, 805-849, 2021
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
Tuning particle accelerators with safety constraints using Bayesian optimization
J Kirschner, M Mutný, A Krause, JC de Portugal, N Hiller, J Snuverink
Physical Review Accelerators and Beams 25 (6), 062802, 2022
Parallel Stochastic Newton Method
M Mutný, P Richtárik
J. Comp. Math. 36, 426-440, 2018
Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L Treven, S Curi, M Mutny, A Krause
L4DC 2021, 2020
Stochastic second-order optimization via von Neumann series
M Mutny
arXiv preprint arXiv:1612.04694, 2016
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
No-regret algorithms for capturing events in poisson point processes
M Mutny, A Krause
International Conference on Machine Learning, 7894-7904, 2021
Active exploration via experiment design in markov chains
M Mutny, T Janik, A Krause
International Conference on Artificial Intelligence and Statistics, 7349-7374, 2023
Data summarization via bilevel optimization
Z Borsos, M Mutný, M Tagliasacchi, A Krause
arXiv preprint arXiv:2109.12534, 2021
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
Learning the correction for multi-path deviations in time-of-flight cameras
M Mutny, R Nair, JM Gottfried
arXiv preprint arXiv:1512.04077, 2015
Sensing cox processes via posterior sampling and positive bases
M Mutný, A Krause
arXiv preprint arXiv:2110.11181, 2021
Experimental design for linear functionals in reproducing kernel hilbert spaces
M Mutny, A Krause
Advances in Neural Information Processing Systems 35, 20175-20188, 2022
Submodular reinforcement learning
M Prajapat, M Mutný, MN Zeilinger, A Krause
arXiv preprint arXiv:2307.13372, 2023
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