Mousavi, Ali

5 publications

AISTATS 2021 Off-Policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi

ICLR 2020 Black-Box Off-Policy Estimation for Infinite-Horizon Reinforcement Learning Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

ICLR 2019 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk

NeurIPS 2019 Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces Chuan Guo, Ali Mousavi, Xiang Wu, Daniel N Holtmann-Rice, Satyen Kale, Sashank Reddi, Sanjiv Kumar

NeurIPS 2017 Learned D-AMP: Principled Neural Network Based Compressive Image Recovery Chris Metzler, Ali Mousavi, Richard Baraniuk