[Tool] Low rank matrix recovery by minimizing matrix norm

Nonconvex Exterior Point Operator Splitting

MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.

Decomposition into Low-Rank and Sparse Matrices in Computer Vision

Tools for estimating, completing and denoising Euclidean distance matrices

Video Denoising using Low Rank Matrix completion

This project focuses on low-rank matrix restoration with robust principal component analysis (RPCA) and matrix completion (MC).

Second-Order Convergence of Alternating Minimizations

Low-rank matrix completion using Iterative Singular Value Thresholding and Alternating Minimization for predicting product ratings on Amazon datasets.

Codes for "A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning (WWW 2021)".