Author

Jiajin Li

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Preprint Jul 2026

Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems

This paper establishes last-iterate convergence of stochastic first-order methods for constrained smooth convex--concave minimax optimization under the standard bounded-variance stochastic oracle and establishes two types of convergence guarantees.

Tao-Li Zheng, Jiajin Li, Anthony Man-Cho So · 1 citation · ⚡1

Preprint Jul 2026

Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity

The main contribution is a finite-time mechanism for converting stationarity of the truncated minimax problem into a KKT certificate for the original constrained problem and establishing explicit convergence rates for the proposed method in terms of the KKT residual.

Lingling Zhu, Jiajin Li · 2 citations