Chuwen Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Customized Augmented Lagrangian Method for Block-Structured Integer Programming	2024	Rui Wang Chuwen Zhang Shanwen Pu Jianjun Gao Zaiwen Wen
+ PDF Chat	A Customized Augmented Lagrangian Method for Block-Structured Integer Programming	2024	Rui Wang Chuwen Zhang Shanwen Pu Jianjun Gao Zaiwen Wen
+	An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization	2024	Qi Bin Deng Qing Feng Wenzhi Gao Dongdong Ge Bo Jiang Yuntian Jiang Jingsong Liu Tianhao Liu Chenyu Xue Yinyu Ye
+	Code and Data Repository An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization	2024	Qi Bin Deng Qing Feng Wenzhi Gao Dongdong Ge Bo Jiang Yuntian Jiang Jingsong Liu Tianhao Liu Chenyu Xue Yinyu Ye
+ PDF Chat	Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness	2024	Chenghan Xie Chenxi Li Chuwen Zhang Qi Deng Dongdong Ge Yinyu Ye
+	Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods	2023	Chang He Yuntian Jiang Chuwen Zhang Dongdong Ge Bo Jiang Yinyu Ye
+	A Homogenization Approach for Gradient-Dominated Stochastic Optimization	2023	Jiyuan Tan Chenyu Xue Chuwen Zhang Qi Deng Dongdong Ge Yinyu Ye
+	Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness	2023	Chenghan Xie Chenxi Li Chuwen Zhang Qi Deng Dongdong Ge Yinyu Ye
+	A Universal Trust-Region Method for Convex and Nonconvex Optimization	2023	Yuntian Jiang Chang He Chuwen Zhang Dongdong Ge Bo Jiang Yinyu Ye
+	cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language	2023	Haihao Lu Jinwen Yang Haodong Hu Qi Huangfu Jinsong Liu Tianhao Liu Yinyu Ye Chuwen Zhang Dongdong Ge
+	DRSOM: A Dimension Reduced Second-Order Method	2022	Chuwen Zhang Dongdong Ge Bo Jiang Yinyu Ye
+	New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming	2022	Qi Deng Qing Feng Wenzhi Gao Dongdong Ge Bo Jiang Yuntian Jiang Jingsong Liu Tianhao Liu Chenyu Xue Yinyu Ye
+	A Homogeneous Second-Order Descent Method for Nonconvex Optimization	2022	Chuwen Zhang Dongdong Ge Chang He Bo Jiang Yuntian Jiang Chenyu Xue Yinyu Ye

Common Coauthors

Coauthor	Papers Together
Yinyu Ye	11
Dongdong Ge	9
Yuntian Jiang	6
Qi Deng	4
Chang He	3
Chenyu Xue	3
Jingsong Liu	3
Tianhao Liu	2
Shanwen Pu	2
Wenzhi Gao	2
Chenghan Xie	2
Rui Wang	2
Bo Jiang	2
Zaiwen Wen	2
Dongdong Ge	2
Jianjun Gao	2
Qi Bin Deng	2
Tianhao Liu	2
Qing Feng	2
Bo Jiang	2
Bo Jiang	2
Chenyu Xue	2
Bo Jiang	1
Jinsong Liu	1
Qi Huangfu	1
Jinwen Yang	1
Jiyuan Tan	1
Wenzhi Gao	1
Qing Feng	1
Haihao Lu	1
Chenxi Li	1
Chenxi Li	1
Haodong Hu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Interior-Point Polynomial Algorithms in Convex Programming	1994	Yurii Nesterov Arkadi Nemirovski	1
+ PDF Chat	SDPNAL $$+$$ + : a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints	2015	Liuqin Yang Defeng Sun Kim-Chuan Toh	1
+	Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones	1999	J.F. Sturm	1
+	A New Self-Dual Embedding Method for Convex Programming	2004	Shuzhong Zhang	1
+ PDF Chat	Newton’s Method with a Model Trust Region Modification	1982	D. C. Sorensen	1
+ PDF Chat	Convergence Analysis of an Inexact Infeasible Interior Point Method for Semidefinite Programming	2004	Stefania Bellavia Sandra Pieraccini	1
+	SDPT3 — A Matlab software package for semidefinite programming, Version 1.3	1999	Kim-Chuan Toh Michael J. Todd Reha Tütüncü	1
+	Second-order cone programming	2003	Farid Alizadeh Donald Goldfarb	1
+	An O(√nL)-Iteration Homogeneous and Self-Dual Linear Programming Algorithm	1994	Yinyu Ye Michael J. Todd Shinji Mizuno	1
+ PDF Chat	LOQO:an interior point code for quadratic programming	1999	Robert J. Vanderbei	1
+	Polynomiality of an inexact infeasible interior point algorithm for semidefinite programming	2004	Guanglu Zhou Kim-Chuan Toh	1
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	1
+	On a homogeneous algorithm for the monotone complementarity problem	1999	Erling D. Andersen Yinyu Ye	1
+	An Iterative Solver-Based Infeasible Primal-Dual Path-Following Algorithm for Convex Quadratic Programming	2006	Zhaosong Lu Renato D. C. Monteiro Jerome W. O’Neal	1
+	On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming	2005	Andreas Wächter Lorenz T. Biegler	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	CBLIB 2014: a benchmark library for conic mixed-integer and continuous optimization	2015	Henrik A. Friberg	1
+ PDF Chat	Convergence Analysis of the Inexact Infeasible Interior-Point Method for Linear Optimization	2008	Ghussoun Al-Jeiroudi Jacek Gondzio	1
+ PDF Chat	Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results	2009	Coralia Cartis Nicholas I. M. Gould Philippe L. Toint	1
+ PDF Chat	Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding	2016	Brendan O’Donoghue Eric Chu Neal Parikh Stephen Boyd	1
+	Stochastic Variance Reduction for Nonconvex Optimization	2016	Sashank J. Reddi Ahmed Hefny Suvrit Sra Barnabás Póczos Alex Smola	1
+ PDF Chat	Fairness in Criminal Justice Risk Assessments: The State of the Art	2018	Richard A. Berk Hoda Heidari Shahin Jabbari Michael Kearns Aaron Roth	1
+	Non-convex Finite-Sum Optimization Via SCSG Methods	2017	Lihua Lei Cheng Ju Jianbo Chen Michael I. Jordan	1
+	Stochastic Cubic Regularization for Fast Nonconvex Optimization	2017	Nilesh Tripuraneni Mitchell Stern Chi Jin Jeffrey Regier Michael I. Jordan	1
+	Fairness Without Demographics in Repeated Loss Minimization	2018	Tatsunori Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang	1
+	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator	2018	Cong Fang Chris Junchi Li Zhouchen Lin Tong Zhang	1
+ PDF Chat	A Stochastic Trust Region Algorithm Based on Careful Step Normalization	2019	Frank E. Curtis Katya Scheinberg Rui Shi	1
+	A Stochastic Trust Region Method for Non-convex Minimization	2019	Zebang Shen Pan Zhou Cong Fang Jiahao Xie Ribeiro Alejandro	1
+ PDF Chat	Newton-type methods for non-convex optimization under inexact Hessian information	2019	Peng Xu Fred Roosta Michael W. Mahoney	1
+ PDF Chat	Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming	2013	Saeed Ghadimi Guanghui Lan	1
+ PDF Chat	Lower bounds for finding stationary points I	2019	Yair Carmon John C. Duchi Oliver Hinder Aaron Sidford	1
+	Distributionally Robust Optimization: A Review	2019	Hamed Rahimian Sanjay Mehrotra	1
+ PDF Chat	Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization	2019	Goran Banjac Paul J. Goulart Bartolomeo Stellato S. T. P. Boyd	1
+	Momentum-Based Variance Reduction in Non-Convex SGD	2019	Ashok Cutkosky Francesco Orabona	1
+	Why gradient clipping accelerates training: A theoretical justification for adaptivity	2019	Jingzhao Zhang Tianxing He Suvrit Sra Ali Jadbabaie	1
+	An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization	2020	Deyi Liu Lam M. Nguyen Quoc Tran-Dinh	1
+ PDF Chat	MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library	2021	Ambros Gleixner Gregor Hendel Gerald Gamrath Tobias Achterberg Michael Bastubbe Timo Berthold Philipp M. Christophel Kati Jarck Thorsten Koch Jeff Linderoth	1
+	Improved Analysis of Clipping Algorithms for Non-convex Optimization	2020	Bohang Zhang Jikai Jin Cong Fang Liwei Wang	1
+	Large-Scale Methods for Distributionally Robust Optimization	2020	Daniel Lévy Yair Carmon John C. Duchi Aaron Sidford	1
+ PDF Chat	A fully stochastic second-order trust region method	2020	Frank E. Curtis Rui Shi	1
+ PDF Chat	Learning models with uniform performance via distributionally robust optimization	2021	John C. Duchi Hongseok Namkoong	1
+ PDF Chat	Operator Splitting for a Homogeneous Embedding of the Linear Complementarity Problem	2021	Brendan O’Donoghue	1
+ PDF Chat	An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming	2021	Spyridon Pougkakiotis Jacek Gondzio	1
+	Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition	2022	Lukang Sun Avetik Karagulyan Peter Richtárik	1
+	Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations	2020	Yossi Arjevani Yair Carmon John C. Duchi Dylan J. Foster Ayush Sekhari Karthik Sridharan	1
+	Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization	2019	Quoc Tran-Dinh Nhan H. Pham Dzung T. Phan Lam M. Nguyen	1
+	DRSOM: A Dimension Reduced Second-Order Method	2022	Chuwen Zhang Dongdong Ge Bo Jiang Yinyu Ye	1
+	Provable Adaptivity in Adam	2022	Bohan Wang Yushun Zhang Huishuai Zhang Meng Qi Zhi-Ming Ma Tie‐Yan Liu Wei Chen	1
+	Robustness to Unbounded Smoothness of Generalized SignSGD	2022	Michael Crawshaw Mingrui Liu Francesco Orabona Wei Zhang Zhenxun Zhuang	1
+	Variance Reduction for Faster Non-Convex Optimization	2016	Zeyuan Allen-Zhu Elad Hazan	1