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Donghwan Kim

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#machine learning Conference Feb 2024

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

This work provides a refined analysis for inexact Halpern iteration that relaxes the required inexactness level to improve some state-of-the-art complexity results even for constrained stochastic convex-concave min-max problems.

Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright · 12 citations · ⚡2

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