Andrew J. Wagenmaker

12 papers A* 5A 1B 2Journal 3Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory. COLT Andrew J. Wagenmaker, Dylan J. Foster
2022	A	`conf`	Best Arm Identification with Safety Constraints. AISTATS Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson
2022	A*	`conf`	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning. COLT Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson
2022	A*	`conf`	First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. ICML Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2022	A*	`conf`	Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. ICML Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
2021	A*	`conf`	Task-Optimal Exploration in Linear Dynamical Systems. ICML Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson
2017	J	`jnl`	Robust Photometric Stereo Using Learned Image and Gradient Dictionaries. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	J	`jnl`	Robust Photometric Stereo via Dictionary Learning. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	J	`jnl`	Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization. CoRR Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	B	`conf`	Robust photometric stereo using learned image and gradient dictionaries. ICIP Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2017	B	`conf`	Robust surface reconstruction from gradients via adaptive dictionary regularization. ICIP Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
2016	—	`conf`	A bisimulation-like algorithm for abstracting control systems. Allerton Andrew J. Wagenmaker, Necmiye Ozay