Skip to content

Author

Jia-Nan Wang

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Sep 2026

Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency

A three-regime batch-size phase diagram that reveals how the role of momentum changes with batch size is revealed, with Polyak enlarging the critical batch size, the largest batch size preserving the best small-batch data-scaling exponent, thereby enabling greater parallelism without sacrificing data efficiency.

Jia-Nan Wang, Zi-Xun Huang, Kai-Rui Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.