| 2025 | ICLR | Revisiting Large-Scale Non-convex Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2024 | AAAI | Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2023 | AAAI | Robust Average-Reward Markov Decision Processes. | Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou |
| 2023 | ICML | Model-Free Robust Average-Reward Reinforcement Learning. | Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou |
| 2022 | AISTATS | Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. | Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi |
| 2022 | ECCV | Incremental Task Learning with Incremental Rank Updates. | Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, M. Salman Asif |
| 2021 | ACSSC | Collaborative Direction-of-Arrival Estimation Exploiting One-Bit Cross-Correlations. | Yimin D. Zhang, Ashley Prater-Bennette |
| 2020 | ICASSP | Low-Rank Tensor Ring Model for Completing Missing Visual Data. | M. Salman Asif, Ashley Prater-Bennette |
| 2020 | ICASSP | L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis. | Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos |
| 2019 | ICIP | Multilinear Compressive Sensing With Tensor Ring Factorization. | M. Salman Asif, Ashley Prater-Bennette |