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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

18 March 2013
Pinghua Gong
Changshui Zhang
Zhaosong Lu
Jianhua Z. Huang
Jieping Ye
ArXivPDFHTML

Papers citing "A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems"

28 / 28 papers shown
Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
21
0
0
14 May 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
45
1
0
19 Jan 2025
A Unified Framework for Soft Threshold Pruning
A Unified Framework for Soft Threshold Pruning
Yanqing Chen
Zhengyu Ma
Wei Fang
Xiawu Zheng
Zhaofei Yu
Yonghong Tian
88
19
0
25 Feb 2023
Curriculum-based Asymmetric Multi-task Reinforcement Learning
Curriculum-based Asymmetric Multi-task Reinforcement Learning
H. Huang
Deheng Ye
Li Shen
Wen Liu
32
12
0
07 Nov 2022
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic
  Concave Penalty Function
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
Hongbing Zhang
Xinyi Liu
Chang-Shu Liu
Hongtao Fan
Yajing Li
Xinyun Zhu
27
7
0
25 Jun 2022
Reinforcement Learning with Heterogeneous Data: Estimation and Inference
Reinforcement Learning with Heterogeneous Data: Estimation and Inference
Elynn Y. Chen
Rui Song
Michael I. Jordan
OffRL
24
10
0
31 Jan 2022
Coordinate Descent Methods for DC Minimization: Optimality Conditions
  and Global Convergence
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence
Ganzhao Yuan
33
3
0
09 Sep 2021
Screening for a Reweighted Penalized Conditional Gradient Method
Screening for a Reweighted Penalized Conditional Gradient Method
Yifan Sun
Francis R. Bach
18
0
0
02 Jul 2021
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Yunmei Chen
Hongcheng Liu
X. Ye
Qingchao Zhang
61
23
0
22 Jul 2020
Tensor completion via nonconvex tensor ring rank minimization with
  guaranteed convergence
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence
Meng Ding
Tingzhu Huang
Xile Zhao
Tian-Hui Ma
MQ
49
24
0
14 May 2020
Investigating Task-driven Latent Feasibility for Nonconvex Image
  Modeling
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Risheng Liu
Pan Mu
Jian Chen
Xin-Yue Fan
Zhongxuan Luo
38
25
0
18 Oct 2019
Robust Hierarchical-Optimization RLS Against Sparse Outliers
Robust Hierarchical-Optimization RLS Against Sparse Outliers
Konstantinos Slavakis
Sinjini Banerjee
16
7
0
11 Oct 2019
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing
  Norms
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Feiping Nie
Zhanxuan Hu
Xiaoqian Wang
Rong Wang
Xuelong Li
Heng-Chiao Huang
22
0
0
02 Jul 2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers
Screening Rules for Lasso with Non-Convex Sparse Regularizers
A. Rakotomamonjy
Gilles Gasso
Joseph Salmon
36
24
0
16 Feb 2019
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
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector
  Machines
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines
Lei Guan
Linbo Qiao
Dongsheng Li
Tao Sun
Ke-shi Ge
Xicheng Lu
36
14
0
11 Sep 2018
Sparse-Input Neural Networks for High-dimensional Nonparametric
  Regression and Classification
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification
Jean Feng
N. Simon
24
99
0
21 Nov 2017
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
Lei Yang
35
23
0
18 Nov 2017
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
Informed Non-convex Robust Principal Component Analysis with Features
Informed Non-convex Robust Principal Component Analysis with Features
Niannan Xue
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
21
7
0
14 Sep 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex
  Optimization
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
Qunwei Li
Yi Zhou
Yingbin Liang
P. Varshney
21
94
0
14 May 2017
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
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Quanming Yao
James T. Kwok
Leon Wenliang Zhong
19
45
0
03 Dec 2015
What Objective Does Self-paced Learning Indeed Optimize?
What Objective Does Self-paced Learning Indeed Optimize?
Deyu Meng
Qian Zhao
Lu Jiang
27
77
0
19 Nov 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
36
166
0
30 Sep 2014
Global convergence of splitting methods for nonconvex composite
  optimization
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li
Ting Kei Pong
41
401
0
03 Jul 2014
Schatten-ppp Quasi-Norm Regularized Matrix Optimization via Iterative Reweighted Singular Value Minimization
Zhaosong Lu
Yong Zhang
56
11
0
05 Jan 2014
Sequential Convex Programming Methods for A Class of Structured
  Nonlinear Programming
Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming
Zhaosong Lu
59
28
0
10 Oct 2012
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