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Proximal Gradient Method with Extrapolation and Line Search for a Class
  of Nonconvex and Nonsmooth Problems

Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems

18 November 2017
Lei Yang
ArXivPDFHTML

Papers citing "Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems"

13 / 13 papers shown
Title
A successive difference-of-convex approximation method for a class of
  nonconvex nonsmooth optimization problems
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
Tianxiang Liu
Ting Kei Pong
Akiko Takeda
41
44
0
16 Oct 2017
Optimization Methods for Supervised Machine Learning: From Linear Models
  to Deep Learning
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning
Frank E. Curtis
K. Scheinberg
53
45
0
30 Jun 2017
A Non-monotone Alternating Updating Method for A Class of Matrix
  Factorization Problems
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems
Lei Yang
Ting Kei Pong
Xiaojun Chen
15
9
0
18 May 2017
Further properties of the forward-backward envelope with applications to
  difference-of-convex programming
Further properties of the forward-backward envelope with applications to difference-of-convex programming
Tianxiang Liu
Ting Kei Pong
31
49
0
01 May 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
128
293
0
09 Feb 2016
Linear Convergence of Proximal Gradient Algorithm with Extrapolation for
  a Class of Nonconvex Nonsmooth Minimization Problems
Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems
Bo Wen
Xiaojun Chen
Ting Kei Pong
20
95
0
31 Dec 2015
Sparse Recovery via Partial Regularization: Models, Theory and
  Algorithms
Sparse Recovery via Partial Regularization: Models, Theory and Algorithms
Zhaosong Lu
Xiaorui Li
25
38
0
23 Nov 2015
Block stochastic gradient iteration for convex and nonconvex
  optimization
Block stochastic gradient iteration for convex and nonconvex optimization
Yangyang Xu
W. Yin
116
134
0
12 Aug 2014
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
Peter Ochs
Yunjin Chen
Thomas Brox
Thomas Pock
45
431
0
18 Apr 2014
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex
  Regularized Optimization Problems
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong
Changshui Zhang
Zhaosong Lu
Jianhua Z. Huang
Jieping Ye
121
400
0
18 Mar 2013
Templates for Convex Cone Problems with Applications to Sparse Signal
  Recovery
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Stephen Becker
Emmanuel J. Candès
Michael C. Grant
70
680
0
10 Sep 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
271
3,543
0
25 Feb 2010
Asymptotic properties of bridge estimators in sparse high-dimensional
  regression models
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Jian Huang
J. Horowitz
Shuangge Ma
192
517
0
04 Apr 2008
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