Author

Yue Wu

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#machine learning Jun 2026

Accelerating Min-Max Optimization via Power-Law Stepsizes

This work provides a deterministic dynamic stepsize schedule that accelerates the convergence rate of EG to $\mathcal{O}(T^{-2/3+\varepsilon})$ for any $\varepsilon>0$ and shows that this rate is nearly tight when the extrapolation and update steps of EG use the same stepsize.

Yue Wu, Weiqiang Zheng, Yang Cai et al. · arXiv.org · 0 citations