Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD
arXiv:2604.10373v1 Announce Type: cross
Abstract: From adversarial robustness to multi-agent learning, many machine learning tasks can be cast as finite-sum min-max optimization or, more generally, as variational inequality problems (VIPs). Owing to t…