Yuxuan Zeng

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Common Coauthors
Coauthor Papers Together
Jianchao Bai 3
Xiaojing Shen 2
Zhiguo Wang 2
Zhiguo Wang 1
Shengjia Wang 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities 2000 Bing He
Hai Yang
S. L. Wang
1
+ Proximal alternating linearized minimization for nonconvex and nonsmooth problems 2013 Jérôme Bolte
Shoham Sabach
Marc Teboulle
1
+ A multivariate regression approach to association analysis of a quantitative trait network 2009 Se Young Kim
Kyung-Ah Sohn
Eric P. Xing
1
+ PDF Chat Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality 2010 Hédy Attouch
Jérôme Bolte
Patrick Redont
Antoine Soubeyran
1
+ Sparse inverse covariance estimation with the graphical lasso 2007 Jerome H. Friedman
Trevor Hastie
R. Tibshirani
1
+ PDF Chat Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems 2016 Mingyi Hong
Zhi-Quan Luo
Meisam Razaviyayn
1
+ Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization 2016 Feihu Huang
Songcan Chen
Zhaosong Lu
1
+ PDF Chat A parameterized proximal point algorithm for separable convex optimization 2017 Jianchao Bai
Hongchao Zhang
Jicheng Li
1
+ General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems 2019 Zhongming Wu
Min Li
1
+ PDF Chat Global Convergence of ADMM in Nonconvex Nonsmooth Optimization 2018 Yu Wang
Wotao Yin
Jinshan Zeng
1
+ PDF Chat Katyusha: the first direct acceleration of stochastic gradient methods 2017 Zeyuan Allen-Zhu
1
+ PDF Chat Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction 2017 Lei Yang
Ting Kei Pong
Xiaojun Chen
1
+ Convergence study of indefinite proximal ADMM with a relaxation factor 2020 Min Tao
1
+ PDF Chat An inexact accelerated stochastic ADMM for separable convex optimization 2022 Jianchao Bai
William W. Hager
Hongchao Zhang
1
+ PDF Chat Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems 2021 Zhiguo Wang
Jiawei Zhang
Tsung‐Hui Chang
Jian Li
Zhi‐Quan Luo
1
+ PDF Chat A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization 2021 Fengmiao Bian
Jiangwei Liang
Xiaoqun Zhang
1
+ Convergence of the Peaceman-Rachford Splitting Method for a Class of Nonconvex Programs 2021 Miantao Chao
Miantao Chao
Xingju Cai
Miantao Chao
Xingju Cai
1
+ Introductory Lectures on Convex Optimization: A Basic Course 2014 Ю Е Нестеров
1
+ A fast proximal iteratively reweighted nuclear norm algorithm for nonconvex low-rank matrix minimization problems 2022 Zhili Ge
Xin Zhang
Zhongming Wu
1
+ Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization 2022 Maryam Yashtini
1
+ PDF Chat Proximal ADMM for nonconvex and nonsmooth optimization 2022 Yu Yang
Qing‐Shan Jia
Zhanbo Xu
Xiaohong Guan
Costas J. Spanos
1
+ PDF Chat A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization 2022 Jiawei Zhang
Zhi‐Quan Luo
1
+ PDF Chat An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization 2024 Yuxuan Zeng
Zhiguo Wang
Jianchao Bai
Xiaojing Shen
1