Mojmír Mutný

According to our database, Mojmír Mutný authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

Submodular Reinforcement Learning.

Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause

CoRR, 2023

Likelihood Ratio Confidence Sets for Sequential Decision Making.

Nicolas Emmenegger, Mojmir Mutny, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active Exploration via Experiment Design in Markov Chains.

Mojmir Mutny, Tadeusz Janik, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization.

Johannes Kirschner, Mojmír Mutný, Andreas Krause, Jaime Coello de Portugal, Nicole Hiller, Jochem Snuverink

CoRR, 2022

Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces.

Mojmir Mutny, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes.

Elvis Nava, Mojmir Mutny, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sensing Cox Processes via Posterior Sampling and Positive Bases.

Mojmir Mutny, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Data Summarization via Bilevel Optimization.

Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause

CoRR, 2021

Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory.

Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

No-regret Algorithms for Capturing Events in Poisson Point Processes.

Mojmir Mutny, Andreas Krause

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback.

Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause

Proceedings of the Algorithmic Learning Theory, 2021

2020

Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory.

Lenart Treven, Sebastian Curi, Mojmir Mutny, Andreas Krause

CoRR, 2020

Coresets via Bilevel Optimization for Continual Learning and Streaming.

Zalán Borsos, Mojmir Mutny, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling.

Mojmir Mutny, Michal Derezinski, Andreas Krause

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Experimental Design for Optimization of Orthogonal Projection Pursuit Models.

Mojmir Mutny, Johannes Kirschner, Andreas Krause

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Convergence Analysis of the Randomized Newton Method with Determinantal Sampling.

Mojmír Mutný, Michal Derezinski, Andreas Krause

CoRR, 2019

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.

Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features.

Mojmir Mutny, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Stochastic Second-Order Optimization via von Neumann Series.

Mojmir Mutny

CoRR, 2016

2015

Learning the Correction for Multi-Path Deviations in Time-of-Flight Cameras.

Mojmir Mutny, Rahul Nair, Jens-Malte Gottfried

CoRR, 2015