Penalty Decomposition Methods for Rank Minimization

31 August 2010

Papers citing "Penalty Decomposition Methods for Rank Minimization"

12 / 12 papers shown

Title
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation Xinyu Chen Mengying Lei Nicolas Saunier Lijun Sun 27 102 0 30 Apr 2021
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting Xinyu Chen Lijun Sun AI4TS 19 21 0 18 Jun 2020
Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank Inducing Norms Christian Grussler Pontus Giselsson 14 0 0 17 Oct 2018
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm Zaiyi Chen MQ 21 1 0 14 Sep 2018
A non-convex approach to low-rank and sparse matrix decomposition Angang Cui Jigen Peng Haiyang Li Changlong Wang 19 0 0 02 Jul 2018
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems Tianxiang Liu Ting Kei Pong Akiko Takeda 26 44 0 16 Oct 2017
Exact Clustering of Weighted Graphs via Semidefinite Programming Aleksis Pirinen Brendan P. W. Ames 18 4 0 16 Mar 2016
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion Zehua Wang Ming-Jun Lai Zhaosong Lu Wei Fan H. Davulcu Jieping Ye 41 99 0 04 Apr 2014
Schatten- $p$ Quasi-Norm Regularized Matrix Optimization via Iterative Reweighted Singular Value Minimization Zhaosong Lu Yong Zhang 50 11 0 05 Jan 2014
Sparse Approximation via Penalty Decomposition Methods Zhaosong Lu Yong Zhang 52 208 0 10 May 2012
Guaranteed clustering and biclustering via semidefinite programming Brendan P. W. Ames 49 62 0 16 Feb 2012
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression Zhaosong Lu R. Monteiro M. Yuan 93 62 0 04 Apr 2009