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Efficient Learning with a Family of Nonconvex Regularizers by
  Redistributing Nonconvexity

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity

13 June 2016
Quanming Yao
James T. Kwok
ArXivPDFHTML

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

5 / 5 papers shown
Title
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix
  Completion
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion
Yaqing Wang
Quanming Yao
James T. Kwok
11
0
0
14 Aug 2020
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
21
153
0
16 Aug 2018
First-order Methods Almost Always Avoid Saddle Points
First-order Methods Almost Always Avoid Saddle Points
J. Lee
Ioannis Panageas
Georgios Piliouras
Max Simchowitz
Michael I. Jordan
Benjamin Recht
ODL
85
82
0
20 Oct 2017
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
76
736
0
19 Mar 2014
Sequential Convex Programming Methods for A Class of Structured
  Nonlinear Programming
Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming
Zhaosong Lu
45
28
0
10 Oct 2012
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