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Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning

arXiv cs.LG · 2026-07-08 Cached

Proposes EISAM, a new optimizer that extends Sharpness-Aware Minimization using an extragradient step to find flatter minima, improving generalization and robustness while reducing sensitivity to hyperparameters. Outperforms SGD, Adam, and SAM on benchmarks.

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