A first-order augmented Lagrangian method for constrained minimax optimization

Zhaosong Lu, Sanyou Mei
1/5/2023
math.OCcs.LGmath.NA

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Abstract

In this paper we study a class of constrained minimax problems. In particular, we propose a first-order augmented Lagrangian method for solving them, whose subproblems turn out to be a much simpler structured minimax problem and are suitably solved by a first-order method developed in this paper. Under some suitable assumptions, an \emph{operation complexity} of $O(\varepsilon^{-4}\log\varepsilon^{-1})$, measured by its fundamental operations, is established for the first-order augmented Lagrangian method for finding an $\varepsilon$-KKT solution of the constrained minimax problems.

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Cite this paper

@article{lu2023firstorder,
  title  = {A first-order augmented Lagrangian method for constrained minimax optimization},
  author = {Zhaosong Lu and Sanyou Mei},
  year   = {2023},
  eprint = {2301.02060},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.02060v3}
}

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