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Mojmír Mutný
Mojmír Mutný
PhD student at ETH Zurich
Verified email at inf.ethz.ch
Title
Cited by
Cited by
Year
Efficient high dimensional bayesian optimization with additivity and quadrature fourier features
M Mutny, A Krause
Advances in Neural Information Processing Systems 31, 2018
1142018
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
902019
Coresets via bilevel optimization for continual learning and streaming
Z Borsos, M Mutný, A Krause
NeurIPS 2020, 2020
602020
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
562020
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
16*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
112019
Parallel Stochastic Newton Method
M Mutný, P Richtárik
J. Comp. Math. 36, 426-440, 2018
112018
Efficient pure exploration for combinatorial bandits with semi-bandit feedback
M Jourdan, M Mutný, J Kirschner, A Krause
Algorithmic Learning Theory, 805-849, 2021
102021
Stochastic second-order optimization via von Neumann series
M Mutny
arXiv preprint arXiv:1612.04694, 2016
92016
Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L Treven, S Curi, M Mutny, A Krause
L4DC 2021, 2020
5*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
42015
Sensing Cox Processes via Posterior Sampling and Positive Bases
M Mutný, A Krause
arXiv preprint arXiv:2110.11181, 2021
22021
No-regret algorithms for capturing events in poisson point processes
M Mutny, A Krause
International Conference on Machine Learning, 7894-7904, 2021
22021
Active Exploration via Experiment Design in Markov Chains
M Mutný, T Janik, A Krause
arXiv preprint arXiv:2206.14332, 2022
12022
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
12022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
M Mutný, A Krause
arXiv preprint arXiv:2205.13627, 2022
2022
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization
J Kirschner, M Mutný, A Krause, JC de Portugal, N Hiller, J Snuverink
arXiv preprint arXiv:2203.13968, 2022
2022
Data Summarization via Bilevel Optimization
Z Borsos, M Mutný, M Tagliasacchi, A Krause
arXiv preprint arXiv:2109.12534, 2021
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
2020
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Articles 1–19