Ke Wei

Available identifiers

List of research outcomes

Publication	Date of Publication	Type
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources	2024-03-14	Paper
A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization	2023-10-28	Paper
Improved Complexity Analysis of the Sinkhorn and Greenkhorn Algorithms for Optimal Transport	2023-05-24	Paper
Tensor Completion via Tensor Train Based Low-Rank Quotient Geometry under a Preconditioned Metric	2022-09-11	Paper
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning	2022-09-05	Paper
Improved Harmonic Incompatibility Removal for Susceptibility Mapping via Reduction of Basis Mismatch	2022-08-15	Paper
Approximation Theory of Total Variation Minimization for Data Completion	2022-07-15	Paper
Image restoration: structured low rank matrix framework for piecewise smooth functions and beyond	2021-11-23	Paper
An Inexact Riemannian Proximal Gradient Method	2021-11-14	Paper
Exact matrix completion based on low rank Hankel structure in the Fourier domain	2021-09-03	Paper
Fast Cadzow's algorithm and a gradient variant	2021-09-01	Paper
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion	2021-08-17	Paper
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization	2021-01-11	Paper
Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations	2020-09-29	Paper
Guarantees of Riemannian optimization for low rank matrix completion	2020-05-05	Paper
An Extension of Fast Iterative Shrinkage-thresholding to Riemannian Optimization for Sparse Principal Component Analysis	2019-09-12	Paper
Accelerated Alternating Projections for Robust Principal Component Analysis	2019-05-02	Paper
Painless breakups -- efficient demixing of low rank matrices	2019-01-23	Paper
Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion	2018-10-29	Paper
Spectral Compressed Sensing via Projected Gradient Descent	2018-10-11	Paper
Exploiting the structure effectively and efficiently in low rank matrix recovery	2018-09-10	Paper
Solving systems of phaseless equations via Riemannian optimization with optimal sampling complexity	2018-09-08	Paper
Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing	2018-08-22	Paper
New region force for variational models in image segmentation and high dimensional data clustering	2018-04-03	Paper
CGIHT: conjugate gradient iterative hard thresholding for compressed sensing and matrix completion	2018-02-16	Paper
A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions	2018-01-05	Paper
Guarantees of Riemannian Optimization for Low Rank Matrix Recovery	2016-09-07	Paper
Low rank matrix completion by alternating steepest descent methods	2016-01-28	Paper
Solving systems of phaseless equations via Kaczmarz methods: a proof of concept study	2016-01-15	Paper
Normalized Iterative Hard Thresholding for Matrix Completion	2014-01-21	Paper

Research outcomes over time

Doctoral students

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