Andrew J. Wagenmaker

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Dynamical Systems

Photometric Stereo

Reinforcement Learning

Surface Reconstruction

Top Venues

Publications

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