Ke Wei - RankMe

40 papers A* 3B 1Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance. AAAI Hongxu Chen, Ke Wei, Luo Luo
2026	J	`jnl`	Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance. CoRR Hongxu Chen, Ke Wei, Luo Luo
2026	J	`jnl`	Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise. CoRR Hongxu Chen, Ke Wei, Xiaoming Yuan, Luo Luo
2025	J	`jnl`	On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation. CoRR Jiacai Liu, Wenye Li, Ke Wei
2025	J	`jnl`	On the Convergence of Projected Policy Gradient for Any Constant Step Sizes. J. Mach. Learn. Res. Jiacai Liu, Wenye Li, Dachao Lin, Ke Wei, Zhihua Zhang
2025	B	`conf`	Phase Retrieval of Spectrally Sparse Signals. ISIT Xianyin Zhang, Jinchi Chen, Ke Wei
2025	J	`jnl`	Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data. CoRR Wenye Li, Hongxu Chen, Jiacai Liu, Ke Wei
2025	A*	`conf`	ϕ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee. ICLR Wenye Li, Jiacai Liu, Ke Wei
2024	J	`jnl`	Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Jinchi Chen, Jie Feng, Weiguo Gao, Ke Wei
2024	J	`jnl`	Elementary Analysis of Policy Gradient Methods. CoRR Jiacai Liu, Wenye Li, Ke Wei
2024	J	`jnl`	Global Convergence of Natural Policy Gradient with Hessian-Aided Momentum Variance Reduction. J. Sci. Comput. Jie Feng, Ke Wei, Jinchi Chen
2024	J	`jnl`	Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction. CoRR Jie Feng, Ke Wei, Jinchi Chen
2024	J	`jnl`	Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions. CoRR Tianming Wang, Ke Wei
2023	J	`jnl`	Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion. J. Mach. Learn. Res. Haifeng Wang, Jinchi Chen, Ke Wei
2023	J	`jnl`	On the Linear Convergence of Policy Gradient under Hadamard Parameterization. CoRR Jiacai Liu, Jinchi Chen, Ke Wei
2022	J	`jnl`	Approximation Theory of Total Variation Minimization for Data Completion. CoRR Jian-Feng Cai, Jae Kyu Choi, Ke Wei
2022	J	`jnl`	Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. IEEE Trans. Inf. Theory Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei
2021	J	`jnl`	Fast Cadzow's Algorithm and a Gradient Variant. J. Sci. Comput. Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei
2021	A*	`conf`	Is Attention Better Than Matrix Decomposition? ICLR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2021	J	`jnl`	Is Attention Better Than Matrix Decomposition? CoRR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2020	J	`jnl`	Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization. SIAM J. Imaging Sci. Jian-Feng Cai, Jae Kyu Choi, Ke Wei
2020	J	`jnl`	Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond. CoRR Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Ke Wei
2020	J	`jnl`	Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations. IEEE Trans. Inf. Theory Zhenzhen Li, Jian-Feng Cai, Ke Wei
2020	J	`jnl`	Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. CoRR Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei
2019	J	`jnl`	Accelerated Alternating Projections for Robust Principal Component Analysis. J. Mach. Learn. Res. HanQin Cai, Jian-Feng Cai, Ke Wei
2019	J	`jnl`	Exact matrix completion based on low rank Hankel structure in the Fourier domain. CoRR Jinchi Chen, Weiguo Gao, Ke Wei
2019	J	`jnl`	Fast Cadzow's Algorithm and a Gradient Variant. CoRR Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei
2019	J	`jnl`	Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization. CoRR Jian-Feng Cai, Jae Kyu Choi, Ke Wei
2018	J	`jnl`	Exploiting the structure effectively and efficiently in low rank matrix recovery. CoRR Jian-Feng Cai, Ke Wei
2018	J	`jnl`	Spectral Compressed Sensing via Projected Gradient Descent. SIAM J. Optim. Jian-Feng Cai, Tianming Wang, Ke Wei
2018	J	`jnl`	Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations. CoRR Zhenzhen Li, Jian-Feng Cai, Ke Wei
2017	J	`jnl`	A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions. SIAM J. Sci. Comput. Kuan Xu, Anthony P. Austin, Ke Wei
2017	J	`jnl`	Accelerated Alternating Projections for Robust Principal Component Analysis. CoRR HanQin Cai, Jian-Feng Cai, Ke Wei
2017	J	`jnl`	New region force for variational models in image segmentation and high dimensional data clustering. CoRR Ke Wei, Ke Yin, Xue-Cheng Tai, Tony F. Chan
2016	J	`jnl`	Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion. CoRR Jian-Feng Cai, Tianming Wang, Ke Wei
2016	J	`jnl`	Guarantees of Riemannian Optimization for Low Rank Matrix Recovery. SIAM J. Matrix Anal. Appl. Ke Wei, Jian-Feng Cai, Tony F. Chan, Shingyu Leung
2015	J	`jnl`	Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing. IEEE Trans. Signal Process. Jeffrey D. Blanchard, Jared Tanner, Ke Wei
2015	J	`jnl`	Fast Iterative Hard Thresholding for Compressed Sensing. IEEE Signal Process. Lett. Ke Wei
2013	—	`conf`	Matrix completion algorithms with optimal phase transition. EUSIPCO Jared Tanner, Ke Wei
2013	J	`jnl`	Normalized Iterative Hard Thresholding for Matrix Completion. SIAM J. Sci. Comput. Jared Tanner, Ke Wei