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News/Towards joint scaling laws with optimal batch size schedules
arxiv
PublishedJuly 31, 2026 at 4:00 AM
—neutral

Towards joint scaling laws with optimal batch size schedules

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Publisher summary· verbatim

arXiv:2607.27731v1 Announce Type: new Abstract: Modern deep learning typically keeps the batch size static throughout training, thus overlooking the joint effect of learning rate and batch size on the training dynamics. In this paper, we study the deep learning dynamics through the lens of convex op

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#optimization#deep-learning#large-language-models#machine-learning

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