Ashley Prater-Bennette

35 papers A* 4A 1B 1Misc 2Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computing Proximity Operators of Scale and Signed Permutation Invariant Functions. J. Optim. Theory Appl. Jianqing Jia, Ashley Prater-Bennette, Lixin Shen
2025	A*	`conf`	Revisiting Large-Scale Non-convex Distributionally Robust Optimization. ICLR Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2025	J	`jnl`	Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif
2025	J	`jnl`	Sparse Recovery: The Square of ℓ J. Sci. Comput. Jianqing Jia, Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp
2024	—	`conf`	Continual Learning in Convolutional Neural Networks with Tensor Rank Updates. SAM Matt Krol, Rakib Hyder, Michael Peechatt, Ashley Prater-Bennette, M. Salman Asif, Panos P. Markopoulos
2024	A*	`conf`	Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. AAAI Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2024	J	`jnl`	Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. CoRR Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
2024	J	`jnl`	Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. CoRR Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif
2023	A*	`conf`	Model-Free Robust Average-Reward Reinforcement Learning. ICML Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Model-Free Robust Average-Reward Reinforcement Learning. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Multimodal Transformer for Material Segmentation. CoRR Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif
2023	A*	`conf`	Robust Average-Reward Markov Decision Processes. AAAI Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Robust Average-Reward Markov Decision Processes. CoRR Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
2023	J	`jnl`	Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation. CoRR Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif
2022	—	`conf`	Incremental Task Learning with Incremental Rank Updates. ECCV (23) Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, M. Salman Asif
2022	J	`jnl`	Incremental Task Learning with Incremental Rank Updates. CoRR Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, M. Salman Asif
2022	J	`jnl`	Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation. Frontiers Appl. Math. Stat. Qingtang Jiang, Ashley Prater-Bennette, Bruce W. Suter, Abdelbaset Zeyani
2022	A	`conf`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2022	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2022	J	`jnl`	The Proximity Operator of the Log-Sum Penalty. J. Sci. Comput. Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp
2021	—	`conf`	Collaborative Direction-of-Arrival Estimation Exploiting One-Bit Cross-Correlations. ACSCC Yimin D. Zhang, Ashley Prater-Bennette
2021	—	`conf`	Convolutional Auto-Encoder with Tensor-Train Factorization. ICCVW Manish Sharma, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette
2021	J	`jnl`	Dynamic L1-Norm Tucker Tensor Decomposition. IEEE J. Sel. Top. Signal Process. Dimitris G. Chachlakis, Mayur Dhanaraj, Ashley Prater-Bennette, Panos P. Markopoulos
2021	—	`conf`	Improved L1-Tucker via L1-Fitting. EUSIPCO Mahsa Mozaffari, Panos P. Markopoulos, Ashley Prater-Bennette
2021	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. CoRR Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2020	Misc	`conf`	L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis. ICASSP Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos
2020	Misc	`conf`	Low-Rank Tensor Ring Model for Completing Missing Visual Data. ICASSP M. Salman Asif, Ashley Prater-Bennette
2019	J	`jnl`	L1-Norm Tucker Tensor Decomposition. IEEE Access Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos
2019	J	`jnl`	L1-norm Tucker Tensor Decomposition. CoRR Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos
2019	B	`conf`	Multilinear Compressive Sensing With Tensor Ring Factorization. ICIP M. Salman Asif, Ashley Prater-Bennette
2018	—	`conf`	L1-Norm Higher-Order Singular-Value Decomposition. GlobalSIP Panos P. Markopoulos, Dimitris G. Chachlakis, Ashley Prater-Bennette
2018	J	`jnl`	Randomness and isometries in echo state networks and compressed sensing. CoRR Ashley Prater-Bennette
2018	—	`conf`	Sparse Tensor Recovery via N-Mode FISTA with Support Augmentation. GlobalSIP Ashley Prater-Bennette, Lixin Shen
2018	J	`jnl`	Sparse tensor recovery via N-mode FISTA with support augmentation. CoRR Ashley Prater-Bennette, Lixin Shen