Mojmír Mutný

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Metropolis Hastings

Reproducing Kernel Hilbert Space

Monte Carlo Sampling

Sequential Decision Making

Top Venues

Publications

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