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1605.02408
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Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
9 May 2016
Bo Jiang
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
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Papers citing
"Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis"
18 / 18 papers shown
Title
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
Zherong Pan
Kui Wu
49
0
0
07 Apr 2025
A Riemannian ADMM
Jiaxiang Li
Shiqian Ma
Tejes Srivastava
33
17
0
03 Nov 2022
First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems
Michael I. Jordan
Tianyi Lin
Manolis Zampetakis
79
23
0
07 Apr 2022
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss
Ju Liu
Ling-Wei Huang
Yifei Shao
Wei-Jie Chen
Chunna Li
38
1
0
01 Mar 2022
Robust Multi-Robot Trajectory Optimization Using Alternating Direction Method of Multiplier
Ruiqi Ni
Zherong Pan
Xifeng Gao
63
8
0
13 Nov 2021
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
Sheng Yue
Ju Ren
Jiang Xin
Sen Lin
Junshan Zhang
FedML
70
44
0
16 Dec 2020
Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control
Xiaoxue Zhang
Jun Ma
Zilong Cheng
Sunan Huang
C. D. Silva
Tong-heng Lee
69
5
0
01 Nov 2020
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
Feihu Huang
Songcan Chen
Heng-Chiao Huang
40
38
0
04 Aug 2020
Conditional Gradient Methods for Convex Optimization with General Affine and Nonlinear Constraints
Guanghui Lan
Edwin Romeijn
Zhiqiang Zhou
58
7
0
30 Jun 2020
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
Feihu Huang
Shangqian Gao
J. Pei
Heng-Chiao Huang
57
8
0
30 Jul 2019
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Paul Grigas
Alfonso Lobos
Nathan Vermeersch
81
5
0
09 Jun 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
Feihu Huang
Shangqian Gao
Songcan Chen
Heng-Chiao Huang
33
18
0
29 May 2019
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines
Lei Guan
Linbo Qiao
Dongsheng Li
Tao Sun
Ke-shi Ge
Xicheng Lu
57
14
0
11 Sep 2018
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
83
51
0
09 Jun 2018
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
Feihu Huang
Songcan Chen
71
21
0
08 Feb 2018
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis
Junyu Zhang
Shiqian Ma
Shuzhong Zhang
110
36
0
05 Oct 2017
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
Feihu Huang
Songcan Chen
Zhaosong Lu
86
15
0
10 Oct 2016
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
96
60
0
24 Apr 2016
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