Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems
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Abstract (arXiv)
In this paper, we consider a class of nonconvex-nonconcave minimax problems, i.e., NC-PL minimax problems, whose objective functions satisfy the Polyak-L ojasiewicz (PL) condition with respect to the inner variable. We propose a zeroth-order alternating gradient descent ascent (ZO-AGDA) algorithm and a zeroth-order variance reduced alternating gradient descent ascent (ZO-VRAGDA) algorithm for solving NC-PL minimax problem under the deterministic and the stochastic setting, respectively. The total number of function value queries to obtain an ε-stationary point of ZO-AGDA and ZO-VRAGDA algorithm for solving NC-PL minimax problem is upper bounded by O(varepsilon-2) and O(varepsilon-3), respectively. To the best of our knowledge, they are the first two zeroth-order algorithms with the iteration complexity gurantee for solving NC-PL minimax problems.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 41 of its 61 references that are in the map. First posted on arXiv 24 Nov 2022.
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41 of 61 references.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 4; 2025: 3; 2026: 1.
11 papers.
- 2023Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimizationcited by 6
- 2025Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithmcited by 5
- 2024A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problemscited by 3
- 2024Two trust region type algorithms for solving nonconvex-strongly concave minimax problemscited by 2
- 2023An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problemscited by 1
- 2024Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimizationcited by 1
- 2025A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz conditioncited by 1
- 2022Iterative Minimax Games with Coupled Linear Constraintscited by 0
- 2024Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problemscited by 0
- 2025A first-order method for constrained nonconvex-nonconcave minimax optimizationcited by 0
- 2026Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problemscited by 0
- 2026Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems14 Oct 2026
- 2025A first-order method for constrained nonconvex-nonconcave minimax optimization1 Oct 2025
- 2025A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition2 Jul 2025
- 2025Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm10 Apr 2025
- 2024Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems24 Nov 2024
- 2024Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization22 Aug 2024
- 2024A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems4 Jul 2024
- 2024Two trust region type algorithms for solving nonconvex-strongly concave minimax problems15 Feb 2024
- 2023An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems24 Oct 2023
- 2023Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization7 Mar 2023
- 2022Iterative Minimax Games with Coupled Linear Constraints9 Dec 2022