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English(EN) Phases of Muon: When Muon Eclipses SignSGD

Muon 优化器分析揭示其与 SignSGD 相比的性能细微差别

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇题为“Muon 的阶段：Muon 何时超越 SignSGD”的新研究论文分析了 Muon（一种谱优化器）与 SignSGD 和 Adam 相比的性能和行为。该研究推导了明确的确定性动力学来理解学习行为，揭示 Muon 的性能对有效批次大小敏感，并且在精确白化和小批次大小的情况下会减慢收敛速度。该论文提供了一个阶段图，根据数据协方差谱和目标损失缩放指示何时 Muon 优于 SignSGD。 AI

影响 为机器学习中使用的优化算法提供理论见解，可能指导未来的模型开发。

排序理由 分析优化算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Muon 优化器分析揭示其与 SignSGD 相比的性能细微差别

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分析优化算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Elliot Paquette, Noah Marshall, Lucas Benigni, Guangyuan Wang, Atish Agarwala, Courtney Paquette ·

    μ子阶段：当μ子掩盖SignSGD

    arXiv:2605.09552v2 Announce Type: replace-cross Abstract: Muon and related spectral optimizers have recently demonstrated strong empirical performance as scalable stochastic methods, often outperforming Adam. Yet their behavior remains poorly understood. We analyze stochastic Muo…

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