Mutny, Mojmir

18 publications

ICLR 2025 Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

JMLR 2024 Data Summarization via Bilevel Optimization Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause

ICLR 2024 Submodular Reinforcement Learning Manish Prajapat, Mojmir Mutny, Melanie Zeilinger, Andreas Krause

NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch, Calvin Tsay, Robert M Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný

AISTATS 2023 Active Exploration via Experiment Design in Markov Chains Mojmir Mutny, Tadeusz Janik, Andreas Krause

NeurIPS 2023 Likelihood Ratio Confidence Sets for Sequential Decision Making Nicolas Emmenegger, Mojmir Mutny, Andreas Krause

NeurIPSW 2023 Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

AISTATS 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes Elvis Nava, Mojmir Mutny, Andreas Krause

AISTATS 2022 Sensing Cox Processes via Posterior Sampling and Positive Bases Mojmir Mutny, Andreas Krause

NeurIPS 2022 Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces Mojmir Mutny, Andreas Krause

ALT 2021 Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause

L4DC 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause

ICML 2021 No-Regret Algorithms for Capturing Events in Poisson Point Processes Mojmir Mutny, Andreas Krause

AISTATS 2020 Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling Mojmir Mutny, Michal Derezinski, Andreas Krause

NeurIPS 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming Zalán Borsos, Mojmir Mutny, Andreas Krause

AAAI 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models Mojmir Mutny, Johannes Kirschner, Andreas Krause

ICML 2019 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause

NeurIPS 2018 Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features Mojmir Mutny, Andreas Krause