Luo Luo

activity

20142023

most citedStochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems

42 citations · 157 across the 25 of their papers we have counts for

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Showing 2021Show all

3 papers · 1 filter

math.OC2021

Quasi-Newton Methods for Saddle Point Problems and Beyond

Chengchang Liu, Luo Luo

This paper studies quasi-Newton methods for solving strongly-convex-strongly-concave saddle point problems (SPP). We propose greedy and random Broyden family updates for SPP, which…

math.OC2021★ 2 cited

Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization

Luo Luo, Yujun Li, Cheng Chen

We study the smooth minimax optimization problem $min_{x} max_{y} f (x, y)$ , where $f$ is $ℓ$ -smooth, strongly-concave in $y$ but possibly nonconvex in…

math.OC2021★ 3 cited

Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization

Luo Luo, Guangzeng Xie, Tong Zhang +1

This paper considers stochastic first-order algorithms for convex-concave minimax problems of the form $min_{x} max_{y} f (x, y)$ , where $f$ can be presented by the…