Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers

1 August 2017

Papers citing "Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers"

6 / 6 papers shown

Title
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness Hailin Wang Jiangjun Peng Wenjin Qin Jianjun Wang Deyu Meng 29 63 0 04 Feb 2023
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising Yiwen Shan D. Hu Zhi Wang Tao Jia 15 16 0 16 Sep 2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 23 0 0 23 Jun 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 23 5 0 08 Feb 2022
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion Yaqing Wang Quanming Yao James T. Kwok 24 0 0 14 Aug 2020
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers April Sagan J. Mitchell 24 5 0 13 Jun 2020