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Douglas-Rachford splitting for nonconvex optimization with application
  to nonconvex feasibility problems

Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems

30 September 2014
Guoyin Li
Ting Kei Pong
ArXivPDFHTML

Papers citing "Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems"

13 / 13 papers shown
Title
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Deliang Wei
Peng Chen
Haobo Xu
Jiale Yao
Fang Li
Tieyong Zeng
34
0
0
13 May 2025
What's in a Prior? Learned Proximal Networks for Inverse Problems
What's in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
36
11
0
22 Oct 2023
Convergence Rates of Training Deep Neural Networks via Alternating
  Minimization Methods
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods
Jintao Xu
Chenglong Bao
W. Xing
8
3
0
30 Aug 2022
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
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
Stochastic Optimization for DC Functions and Non-smooth Non-convex
  Regularizers with Non-asymptotic Convergence
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Tian Xu
Qi Qi
Qihang Lin
Rong Jin
Tianbao Yang
37
41
0
28 Nov 2018
Blind Ptychography by Douglas-Rachford Splitting
Blind Ptychography by Douglas-Rachford Splitting
A. Fannjiang
Zheqing Zhang
22
3
0
26 Aug 2018
Computer Assisted Localization of a Heart Arrhythmia
Computer Assisted Localization of a Heart Arrhythmia
C. Vogl
P. Zheng
S. Seslar
Aleksandr Aravkin
19
0
0
09 Jul 2018
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
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
Global convergence of splitting methods for nonconvex composite
  optimization
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li
Ting Kei Pong
44
401
0
03 Jul 2014
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