Mojmir Mutny

19 papers A* 10A 4Journal 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Confidence Estimation via Sequential Likelihood Mixing.
CoRR
Johannes Kirschner, Andreas Krause, Michele Meziu, Mojmir Mutny
2025 A* conf
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design.
ICLR
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
2024 J jnl
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design.
CoRR
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
2024 A* conf
Submodular Reinforcement Learning.
ICLR
Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause
2024 A* conf
Transition Constrained Bayesian Optimization via Markov Decision Processes.
NeurIPS
Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmir Mutny
2023 A conf
Active Exploration via Experiment Design in Markov Chains.
AISTATS
Mojmir Mutny, Tadeusz Janik, Andreas Krause
2023 A* conf
Likelihood Ratio Confidence Sets for Sequential Decision Making.
NeurIPS
Nicolas Emmenegger, Mojmir Mutny, Andreas Krause
2022 A conf
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes.
AISTATS
Elvis Nava, Mojmir Mutny, Andreas Krause
2022 A* conf
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces.
NeurIPS
Mojmir Mutny, Andreas Krause
2022 A conf
Sensing Cox Processes via Posterior Sampling and Positive Bases.
AISTATS
Mojmir Mutny, Andreas Krause
2021 A* conf
No-regret Algorithms for Capturing Events in Poisson Point Processes.
ICML
Mojmir Mutny, Andreas Krause
2020 A conf
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling.
AISTATS
Mojmir Mutny, Michal Derezinski, Andreas Krause
2020 A* conf
Coresets via Bilevel Optimization for Continual Learning and Streaming.
NeurIPS
Zalán Borsos, Mojmir Mutny, Andreas Krause
2020 A* conf
Experimental Design for Optimization of Orthogonal Projection Pursuit Models.
AAAI
Mojmir Mutny, Johannes Kirschner, Andreas Krause
2020 J jnl
Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory.
CoRR
Lenart Treven, Sebastian Curi, Mojmir Mutny, Andreas Krause
2019 A* conf
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.
ICML
Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause
2018 A* conf
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features.
NeurIPS
Mojmir Mutny, Andreas Krause
2016 J jnl
Stochastic Second-Order Optimization via von Neumann Series.
CoRR
Mojmir Mutny
2015 J jnl
Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras.
CoRR
Mojmir Mutny, Rahul Nair, Jens-Malte Gottfried