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 2022Show all

4 papers · 1 filter

cs.LG2022★ 2 cited

An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization

Lesi Chen, Haishan Ye, Luo Luo

This paper studies the stochastic nonconvex-strongly-concave minimax optimization over a multi-agent network. We propose an efficient algorithm, called Decentralized Recursive grad…

math.OC2022★ 2 cited

On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization

Luo Luo, Yunyan Bai, Lesi Chen +2

We study the decentralized optimization problem $min_{x \in R^{d}} f (x) ≜ \frac{1}{m} \sum_{i = 1}^{m} f_{i} (x)$ , where the local function on the $i$ -th a…

cs.LG2022★ 1 cited

Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization

Lesi Chen, Luo Luo

We study the problem of finding a near-stationary point for smooth minimax optimization. The recently proposed extra anchored gradient (EAG) methods achieve the optimal convergence…

math.OC2022★ 1 cited

Decentralized Stochastic Variance Reduced Extragradient Method

Luo Luo, Haishan Ye

This paper studies decentralized convex-concave minimax optimization problems of the form $min_{x} max_{y} f (x, y) ≜ \frac{1}{m} \sum_{i = 1}^{m} f_{i} (x, y)$ , where $m$ is the number…