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Global convergence of splitting methods for nonconvex composite
  optimization

Global convergence of splitting methods for nonconvex composite optimization

3 July 2014
Guoyin Li
Ting Kei Pong
ArXivPDFHTML

Papers citing "Global convergence of splitting methods for nonconvex composite optimization"

19 / 19 papers shown
Title
ADMM for Structured Fractional Minimization
ADMM for Structured Fractional Minimization
Ganzhao Yuan
31
0
0
12 Nov 2024
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
B. Evens
P. Latafat
Panagiotis Patrinos
27
3
0
11 Dec 2023
Distributed Coverage Control of Constrained Constant-Speed Unicycle
  Multi-Agent Systems
Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems
Qingchen Liu
Zengjie Zhang
N. Le
Jiahu Qin
Fangzhou Liu
Sandra Hirche
19
5
0
12 Apr 2023
Federated Composite Optimization
Federated Composite Optimization
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
26
57
0
17 Nov 2020
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford
  Splitting
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting
W. Ouyang
Yue Peng
Yuxin Yao
Juyong Zhang
Bailin Deng
23
31
0
25 Jun 2020
Limited-angle CT reconstruction via the L1/L2 minimization
Limited-angle CT reconstruction via the L1/L2 minimization
Chao Wang
M. Tao
J. Nagy
Y. Lou
35
50
0
31 May 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
11
12
0
27 Jul 2019
A Scale Invariant Approach for Sparse Signal Recovery
A Scale Invariant Approach for Sparse Signal Recovery
Yaghoub Rahimi
Chao Wang
Hongbo Dong
Y. Lou
22
73
0
20 Dec 2018
$\ell_0$-Motivated Low-Rank Sparse Subspace Clustering
ℓ0\ell_0ℓ0​-Motivated Low-Rank Sparse Subspace Clustering
Maria Brbic
I. Kopriva
15
47
0
17 Dec 2018
Task Embedded Coordinate Update: A Realizable Framework for Multivariate
  Non-convex Optimization
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization
Yiyang Wang
Risheng Liu
Long Ma
Xiaoliang Song
19
2
0
05 Nov 2018
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
23
153
0
16 Aug 2018
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix
  Completion
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion
Kaiyi Ji
Jian Tan
Jinfeng Xu
Yuejie Chi
20
3
0
16 Feb 2018
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
19
44
0
16 Oct 2017
Iteratively Linearized Reweighted Alternating Direction Method of
  Multipliers for a Class of Nonconvex Problems
Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems
Tao Sun
Hao Jiang
Lizhi Cheng
Wei Zhu
20
28
0
01 Sep 2017
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix
  Factorization: Convergence Analysis and Optimality
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality
Songtao Lu
Mingyi Hong
Zhengdao Wang
14
47
0
24 Mar 2017
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
30
59
0
24 Apr 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
102
288
0
09 Feb 2016
Convex Denoising using Non-Convex Tight Frame Regularization
Convex Denoising using Non-Convex Tight Frame Regularization
Ankit Parekh
I. Selesnick
13
57
0
04 Apr 2015
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
Thomas Möllenhoff
Evgeny Strekalovskiy
Michael Möller
Daniel Cremers
39
69
0
07 Jul 2014
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