Author

Haipeng Luo

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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

Aug 2026

Separation of Nonergodic Uniform Convergence Rates for Regularized Learning in Games

The authors prove that no instance-independent last-iterate rate exists for the broad algorithmic family and establish strong lower bounds for random iterates and suggest that practitioners should distinguish carefully between the latest strategy, a randomly selected strategy, and the best observed strategy when evalua...

Yang Cai, Gabriele Farina, J. Grand-Clément et al. · Operational Research · 1 citation