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A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank
  Matrix Recovery

A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery

9 January 2017
Lingxiao Wang
Xiao Zhang
Quanquan Gu
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Papers citing "A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery"

2 / 2 papers shown
Title
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
81
736
0
19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
73
317
0
18 Feb 2014
1