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New research details momentum's role in large-batch AI training

A new research paper explores how momentum impacts large-batch training in machine learning, using power-law kernel regression as a model. The study defines a critical learning rate to characterize risk stability and derives scaling laws for training dynamics. It reveals that Polyak's method expands the critical batch size, allowing for more parallelism without losing data efficiency, while Nesterov's approach improves data efficiency in large-batch scenarios by reducing noise accumulation. AI

IMPACT This research offers theoretical insights into optimizing large-batch training, potentially leading to more efficient model development.

RANK_REASON The cluster contains an academic research paper detailing new findings in machine learning training methods.

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research details momentum's role in large-batch AI training

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The cluster contains an academic research paper detailing new findings in machine learning training methods.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

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

    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 critical learning rate, defined as the largest learning rate for stable training, and ob…

  2. arXiv stat.ML TIER_1 English(EN) · Jia-Nan Wang, Zixun Huang, Kairui Li, Lei Wu ·

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

    arXiv:2609.02728v1 Announce Type: new 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 critical learning rate, defined as the l…