| 2023 | COLT | Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory. | Andrew J. Wagenmaker, Dylan J. Foster |
| 2022 | AISTATS | Best Arm Identification with Safety Constraints. | Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson |
| 2022 | COLT | Beyond No Regret: Instance-Dependent PAC Reinforcement Learning. | Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson |
| 2022 | ICML | First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2022 | ICML | Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2021 | ICML | Task-Optimal Exploration in Linear Dynamical Systems. | Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson |
| 2017 | ICIP | Robust surface reconstruction from gradients via adaptive dictionary regularization. | Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi |
| 2017 | ICIP | Robust photometric stereo using learned image and gradient dictionaries. | Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi |