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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"

30 / 30 papers shown
Title
ADMM for Structured Fractional Minimization
ADMM for Structured Fractional Minimization
Ganzhao Yuan
51
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
34
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
Nam Le
Jiahu Qin
Fangzhou Liu
Sandra Hirche
21
5
0
12 Apr 2023
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial
  Participation
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang
Siddartha Marella
James Anderson
FedML
19
39
0
28 Mar 2022
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz
  Inequality
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz Inequality
Xiao Li
Andre Milzarek
Junwen Qiu
26
20
0
10 Oct 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex
  Federated Composite Optimization
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran-Dinh
Nhan H. Pham
Dzung Phan
Lam M. Nguyen
FedML
29
40
0
05 Mar 2021
A Provably Convergent Information Bottleneck Solution via ADMM
A Provably Convergent Information Bottleneck Solution via ADMM
Tengfei Huang
Aly El Gamal
25
6
0
09 Feb 2021
Federated Composite Optimization
Federated Composite Optimization
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
37
58
0
17 Nov 2020
Alternating Direction Method of Multipliers for Quantization
Alternating Direction Method of Multipliers for Quantization
Tianjian Huang
Prajwal Singhania
Maziar Sanjabi
Pabitra Mitra
Meisam Razaviyayn
MQ
27
10
0
08 Sep 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
36
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
42
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
21
12
0
27 Jul 2019
MAP Inference via L2-Sphere Linear Program Reformulation
MAP Inference via L2-Sphere Linear Program Reformulation
Baoyuan Wu
Li Shen
Tong Zhang
Guohao Li
33
1
0
09 May 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
38
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
20
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
22
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
31
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
29
44
0
16 Oct 2017
A Variational Approach to Shape-from-shading Under Natural Illumination
A Variational Approach to Shape-from-shading Under Natural Illumination
Yvain Quéau
J. Mélou
Fabien Castan
Daniel Cremers
Jean-Denis Durou
3DV
16
34
0
29 Sep 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
25
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
26
47
0
24 Mar 2017
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
30
14
0
10 Oct 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and
  Iteration Complexity Analysis
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo Jiang
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
23
146
0
09 May 2016
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
44
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
105
292
0
09 Feb 2016
Convex Denoising using Non-Convex Tight Frame Regularization
Convex Denoising using Non-Convex Tight Frame Regularization
Ankit Parekh
I. Selesnick
24
57
0
04 Apr 2015
Douglas-Rachford splitting for nonconvex optimization with application
  to nonconvex feasibility problems
Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems
Guoyin Li
Ting Kei Pong
42
166
0
30 Sep 2014
Variational Depth from Focus Reconstruction
Variational Depth from Focus Reconstruction
Michael Möller
Martin Benning
Carola Schönlieb
Daniel Cremers
34
98
0
01 Aug 2014
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
41
69
0
07 Jul 2014
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