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20132024
most citedAdaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

97 citations · 177 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024

Strict Copositivity for a Class of 3rd Order Symmetric Tensors

Min Li, Yisheng Song

In this article, we mainly give the strictly copositive conditions of a special class of third order three dimensional symmetric tensors. More specifically, by means of the polynom…

math.OC2015★ 8 cited

Extended ADMM and BCD for Nonseparable Convex Minimization Models with Quadratic Coupling Terms: Convergence Analysis and Insights

Caihua Chen, Min Li, Xin Liu +1

In this paper, we establish the convergence of the proximal alternating direction method of multipliers (ADMM) and block coordinate descent (BCD) for nonseparable minimization mode…

math.OC2014★ 4 cited

A Majorized ADMM with Indefinite Proximal Terms for Linearly Constrained Convex Composite Optimization

Min Li, Defeng Sun, Kim-Chuan Toh

This paper presents a majorized alternating direction method of multipliers (ADMM) with indefinite proximal terms for solving linearly constrained -block convex composite optimi…

math.OC2014★ 68 cited

A Convergent -Block Semi-Proximal ADMM for Convex Minimization Problems with One Strongly Convex Block

Min Li, Defeng Sun, Kim-Chuan Toh

In this paper, we present a semi-proximal alternating direction method of multipliers (ADMM) for solving -block separable convex minimization problems with the second block in t…

math.NA2013★ 97 cited

Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

Tom Goldstein, Min Li, Xiaoming Yuan +2

The Primal-Dual hybrid gradient (PDHG) method is a powerful optimization scheme that breaks complex problems into simple sub-steps. Unfortunately, PDHG methods require the user to…