Prater-Bennette, Ashley

10 publications

ICLR 2025 Revisiting Large-Scale Non-Convex Distributionally Robust Optimization Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

AAAI 2024 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

JAIR 2024 Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

NeurIPSW 2023 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

ICML 2023 Model-Free Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

AAAI 2023 Robust Average-Reward Markov Decision Processes Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

AISTATS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi

ECCV 2022 Incremental Task Learning with Incremental Rank Updates Rakib Hyder, Ken Shao, Boyu Hou, Panos Markopoulos, Ashley Prater-Bennette, M. Salman Asif

JMLR 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi

ICCVW 2021 Convolutional Auto-Encoder with Tensor-Train Factorization Manish Sharma, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette