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

Changshui Zhang

Jianhua Z. Huang

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

17 / 17 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 14 0 0 14 May 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 38 1 0 19 Jan 2025
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen W. Liu 27 12 0 07 Nov 2022
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 9 7 0 25 Jun 2022
Reinforcement Learning with Heterogeneous Data: Estimation and Inference Elynn Y. Chen Rui Song Michael I. Jordan OffRL 8 10 0 31 Jan 2022
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence Ganzhao Yuan 19 3 0 09 Sep 2021
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence Meng Ding Tingzhu Huang Xile Zhao Tian-Hui Ma MQ 36 24 0 14 May 2020
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
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 14 24 0 16 Feb 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence Yi Tian Xu Qi Qi Qihang Lin R. L. Jin Tianbao Yang 27 40 0 28 Nov 2018
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines Lei Guan Linbo Qiao Dongsheng Li Tao Sun Ke-shi Ge Xicheng Lu 28 14 0 11 Sep 2018
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems Lei Yang 25 22 0 18 Nov 2017
Informed Non-convex Robust Principal Component Analysis with Features Niannan Xue Jiankang Deng Yannis Panagakis S. Zafeiriou 11 7 0 14 Sep 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization Qunwei Li Yi Zhou Yingbin Liang P. Varshney 11 94 0 14 May 2017
Fast Low-Rank Matrix Learning with Nonconvex Regularization Quanming Yao James T. Kwok Leon Wenliang Zhong 9 45 0 03 Dec 2015
Global convergence of splitting methods for nonconvex composite optimization Guoyin Li Ting Kei Pong 31 401 0 03 Jul 2014
Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming Zhaosong Lu 53 28 0 10 Oct 2012