| 2025 | ICLR | Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. | Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause |
| 2024 | ICLR | Submodular Reinforcement Learning. | Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause |
| 2023 | AISTATS | Active Exploration via Experiment Design in Markov Chains. | Mojmir Mutny, Tadeusz Janik, Andreas Krause |
| 2022 | AISTATS | Sensing Cox Processes via Posterior Sampling and Positive Bases. | Mojmir Mutny, Andreas Krause |
| 2022 | AISTATS | Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes. | Elvis Nava, Mojmir Mutny, Andreas Krause |
| 2021 | ICML | No-regret Algorithms for Capturing Events in Poisson Point Processes. | Mojmir Mutny, Andreas Krause |
| 2020 | AAAI | Experimental Design for Optimization of Orthogonal Projection Pursuit Models. | Mojmir Mutny, Johannes Kirschner, Andreas Krause |
| 2020 | AISTATS | Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling. | Mojmir Mutny, Michal Derezinski, Andreas Krause |
| 2019 | ICML | Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. | Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause |