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Home/Authors/Luo Luo

Luo Luo

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

14

papers

197

total citations

papers (14)

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

NEURIPS 2020arXiv

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

NEURIPS 2022arXiv

Quasi-Newton Methods for Saddle Point Problems

NEURIPS 2022arXiv

Efficient Projection-free Algorithms for Saddle Point Problems

NEURIPS 2020arXiv

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition

An Enhanced Levenberg--Marquardt Method via Gram Reduction

Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers

Decentralized Accelerated Proximal Gradient Descent

Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition

Block Broyden's Methods for Solving Nonlinear Equations

A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization