Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity

13 June 2016

Papers citing "Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity"

25 / 25 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 699 0 0 14 May 2025
First-order Methods Almost Always Avoid Saddle Points Jason D. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 116 83 0 20 Oct 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Rong Ge Chi Jin Yi Zheng 115 436 0 03 Apr 2017
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 79 599 0 24 May 2016
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 81 54 0 23 May 2016
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 92 600 0 19 Mar 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 110 392 0 17 Mar 2016
Fast Low-Rank Matrix Learning with Nonconvex Regularization Quanming Yao James T. Kwok Leon Wenliang Zhong 35 45 0 03 Dec 2015
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation Huan Gui Quanquan Gu 77 28 0 18 May 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 132 1,058 0 06 Mar 2015
Generalized Singular Value Thresholding Canyi Lu Changbo Zhu Chunyan Xu Shuicheng Yan Zhouchen Lin 56 205 0 06 Dec 2014
Global convergence of splitting methods for nonconvex composite optimization Guoyin Li Ting Kei Pong 61 402 0 03 Jul 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization Canyi Lu Jinhui Tang Shuicheng Yan Zhouchen Lin 62 272 0 29 Apr 2014
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization Peter Ochs Yunjin Chen Thomas Brox Thomas Pock 70 431 0 18 Apr 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 147 738 0 19 Mar 2014
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 240 516 0 10 May 2013
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting Ming Yan 118 159 0 04 Apr 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems Pinghua Gong Changshui Zhang Zhaosong Lu Jianhua Z. Huang Jieping Ye 146 403 0 18 Mar 2013
Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming Zhaosong Lu 77 28 0 10 Oct 2012
A Hybrid Algorithm for Convex Semidefinite Optimization Soren Laue 71 63 0 18 Jun 2012
Low-rank optimization with trace norm penalty Bamdev Mishra Gilles Meyer Francis R. Bach R. Sepulchre 74 127 0 11 Dec 2011
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 173 583 0 12 Sep 2011
Proximal Methods for Hierarchical Sparse Coding Rodolphe Jenatton Julien Mairal G. Obozinski Francis R. Bach 200 344 0 11 Sep 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 305 3,557 0 25 Feb 2010
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 183 5,036 0 10 Nov 2007