arxiv
PublishedOctober 27, 2026 at 4:00 AM
Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
Publisher summary· verbatim
arXiv:2609.02728v2 Announce Type: replace-cross Abstract: We study when and how momentum improves large-batch training in the one-pass regime, using power-law kernel regression as a tractable setting. We first characterize risk stability through the \emph{critical learning rate}, defined as the larg
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Originally published on arxiv ↗