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A Framework of Inertial Alternating Direction Method of Multipliers for
  Non-Convex Non-Smooth Optimization

A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization

10 February 2021
L. Hien
D. Phan
Nicolas Gillis
ArXivPDFHTML

Papers citing "A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization"

12 / 12 papers shown
Title
Block Majorization Minimization with Extrapolation and Application to $β$-NMF
Block Majorization Minimization with Extrapolation and Application to βββ-NMF
L. Hien
Valentin Leplat
Nicolas Gillis
54
2
0
12 Jan 2024
Faster Stochastic Alternating Direction Method of Multipliers for
  Nonconvex Optimization
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
Feihu Huang
Songcan Chen
Heng-Chiao Huang
27
38
0
04 Aug 2020
Inertial nonconvex alternating minimizations for the image deblurring
Inertial nonconvex alternating minimizations for the image deblurring
Tao Sun
R. Barrio
Marcos Rodríguez
Hao Jiang
33
12
0
27 Jul 2019
Stochastic Alternating Direction Method of Multipliers with Variance
  Reduction for Nonconvex Optimization
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
Feihu Huang
Songcan Chen
Zhaosong Lu
57
15
0
10 Oct 2016
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted
  Nuclear Norm
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
Canyi Lu
Jinhui Tang
Shuicheng Yan
Zhouchen Lin
41
297
0
23 Oct 2015
Generalized Low Rank Models
Generalized Low Rank Models
Madeleine Udell
Corinne Horn
R. Zadeh
Stephen P. Boyd
68
346
0
01 Oct 2014
Global convergence of splitting methods for nonconvex composite
  optimization
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li
Ting Kei Pong
61
402
0
03 Jul 2014
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
204
1,058
0
03 Aug 2011
Sparse Inverse Covariance Selection via Alternating Linearization
  Methods
Sparse Inverse Covariance Selection via Alternating Linearization Methods
K. Scheinberg
Shiqian Ma
D. Goldfarb
CML
149
198
0
30 Oct 2010
Robust Recovery of Subspace Structures by Low-Rank Representation
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu
Zhouchen Lin
Shuicheng Yan
Ju Sun
Yong Yu
Yi-An Ma
106
3,222
0
14 Oct 2010
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
277
10,532
0
01 Nov 2007
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
403
3,766
0
28 Jun 2007
1