Ke Wei

According to our database, Ke Wei authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Global Convergence of Natural Policy Gradient with Hessian-Aided Momentum Variance Reduction.

Jie Feng, Ke Wei, Jinchi Chen

J. Sci. Comput., November, 2024

Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning.

Jinchi Chen, Jie Feng, Weiguo Gao, Ke Wei

J. Mach. Learn. Res., 2024

Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions.

Tianming Wang, Ke Wei

CoRR, 2024

2023

Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion.

Haifeng Wang, Jinchi Chen, Ke Wei

J. Mach. Learn. Res., 2023

On the Linear Convergence of Policy Gradient under Hadamard Parameterization.

Jiacai Liu, Jinchi Chen, Ke Wei

CoRR, 2023

2022

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources.

Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei

IEEE Trans. Inf. Theory, 2022

Approximation Theory of Total Variation Minimization for Data Completion.

Jian-Feng Cai, Jae Kyu Choi, Ke Wei

CoRR, 2022

2021

Fast Cadzow's Algorithm and a Gradient Variant.

Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei

J. Sci. Comput., 2021

2020

Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations.

Zhenzhen Li, Jian-Feng Cai, Ke Wei

IEEE Trans. Inf. Theory, 2020

Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization.

Jian-Feng Cai, Jae Kyu Choi, Ke Wei

SIAM J. Imaging Sci., 2020

Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond.

Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Ke Wei

CoRR, 2020

2019

Accelerated Alternating Projections for Robust Principal Component Analysis.

HanQin Cai, Jian-Feng Cai, Ke Wei

J. Mach. Learn. Res., 2019

Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization.

Jian-Feng Cai, Jae Kyu Choi, Ke Wei

CoRR, 2019

Exact matrix completion based on low rank Hankel structure in the Fourier domain.

Jinchi Chen, Weiguo Gao, Ke Wei

CoRR, 2019

2018

Spectral Compressed Sensing via Projected Gradient Descent.

Jian-Feng Cai, Tianming Wang, Ke Wei

SIAM J. Optim., 2018

Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations.

Zhenzhen Li, Jian-Feng Cai, Ke Wei

CoRR, 2018

Exploiting the structure effectively and efficiently in low rank matrix recovery.

Jian-Feng Cai, Ke Wei

CoRR, 2018

2017

A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions.

Kuan Xu, Anthony P. Austin, Ke Wei

SIAM J. Sci. Comput., 2017

New region force for variational models in image segmentation and high dimensional data clustering.

Ke Wei, Ke Yin, Xue-Cheng Tai, Tony F. Chan

CoRR, 2017

2016

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery.

Ke Wei, Jian-Feng Cai, Tony F. Chan, Shingyu Leung

SIAM J. Matrix Anal. Appl., 2016

Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion.

Jian-Feng Cai, Tianming Wang, Ke Wei

CoRR, 2016

2015

Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing.

Jeffrey D. Blanchard, Jared Tanner, Ke Wei

IEEE Trans. Signal Process., 2015

Fast Iterative Hard Thresholding for Compressed Sensing.

Ke Wei

IEEE Signal Process. Lett., 2015

2013

Normalized Iterative Hard Thresholding for Matrix Completion.

Jared Tanner, Ke Wei

SIAM J. Sci. Comput., 2013

Matrix completion algorithms with optimal phase transition.

Jared Tanner, Ke Wei

Proceedings of the 21st European Signal Processing Conference, 2013