Mojmír Mutný

18 papers B 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Personalization of Generative Models via Optimal Experimental Design.
CoRR
Guy Schacht, Ziyad Sheebaelhamd, Riccardo De Santi, Mojmír Mutný, Andreas Krause
2024 J jnl
Data Summarization via Bilevel Optimization.
J. Mach. Learn. Res.
Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause
2024 — —
Modern Adaptive Experiment Design: Machine Learning Perspective.
Mojmír Mutný
2024 J jnl
Transition Constrained Bayesian Optimization via Markov Decision Processes.
CoRR
Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
2023 J jnl
Likelihood Ratio Confidence Sets for Sequential Decision Making.
CoRR
Nicolas Emmenegger, Mojmír Mutný, Andreas Krause
2023 J jnl
Submodular Reinforcement Learning.
CoRR
Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause
2022 J jnl
Active Exploration via Experiment Design in Markov Chains.
CoRR
Mojmír Mutný, Tadeusz Janik, Andreas Krause
2022 J jnl
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces.
CoRR
Mojmír Mutný, Andreas Krause
2022 J jnl
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization.
CoRR
Johannes Kirschner, Mojmír Mutný, Andreas Krause, Jaime Coello de Portugal, Nicole Hiller, Jochem Snuverink
2021 J jnl
Data Summarization via Bilevel Optimization.
CoRR
Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause
2021 J jnl
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes.
CoRR
Elvis Nava, Mojmír Mutný, Andreas Krause
2021 B conf
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback.
ALT
Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause
2021 J jnl
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback.
CoRR
Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause
2021 — conf
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory.
L4DC
Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause
2021 J jnl
Sensing Cox Processes via Posterior Sampling and Positive Bases.
CoRR
Mojmír Mutný, Andreas Krause
2020 J jnl
Coresets via Bilevel Optimization for Continual Learning and Streaming.
CoRR
Zalán Borsos, Mojmír Mutný, Andreas Krause
2019 J jnl
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.
CoRR
Johannes Kirschner, Mojmír Mutný, Nicole Hiller, Rasmus Ischebeck, Andreas Krause
2019 J jnl
Convergence Analysis of the Randomized Newton Method with Determinantal Sampling.
CoRR
Mojmír Mutný, Michal Derezinski, Andreas Krause