| 2026 | AAAI | Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions. | Reda Ouhamma, Maryam Kamgarpour |
| 2025 | AISTATS | A Safe Exploration Approach to Constrained Markov Decision Processes. | Tingting Ni, Maryam Kamgarpour |
| 2024 | AISTATS | Multi-Agent Learning in Contextual Games under Unknown Constraints. | Anna M. Maddux, Maryam Kamgarpour |
| 2023 | ICML | Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. | Andreas Schlaginhaufen, Maryam Kamgarpour |
| 2022 | ICML | Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. | Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause |
| 2021 | ICML | Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. | Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour |
| 2021 | ICML | Fast Projection Onto Convex Smooth Constraints. | Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy |
| 2020 | AISTATS | Mixed Strategies for Robust Optimization of Unknown Objectives. | Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause |
| 2020 | ICRA | Safe Mission Planning under Dynamical Uncertainties. | Yimeng Lu, Maryam Kamgarpour |
| 2019 | AISTATS | Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. | Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause |
| 2019 | AISTATS | Safe Convex Learning under Uncertain Constraints. | Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour |