Structured Nonconvex and Nonsmooth Optimization: Algorithms and
Iteration Complexity Analysis

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Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis

9 May 2016

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Papers citing "Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis"

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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 42 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 75 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