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English(EN) Iterative Orthogonalization Scaling Laws

新论文发现 Muon 优化器中存在缩放问题

一篇新论文探讨了 Muon 优化器的缩放定律,Muon 是一种 Adam 优化器的潜在替代方案。该研究在理论和实践上都证明,随着规模的增大,随机矩阵的奇异值减小,Muon 中的迭代正交化过程可能会遇到问题。然而,该论文并未提出解决这一已识别缩放行为的方案。 AI

影响 识别出一种新型优化器潜在的缩放限制,这对于开发新训练方法的研究人员来说具有参考价值。

排序理由 学术论文,详细介绍了关于优化算法的理论和实证发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新论文发现 Muon 优化器中存在缩放问题

本文如何被排名

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学术论文,详细介绍了关于优化算法的理论和实证发现。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Devan Selvaraj ·

    迭代正交化缩放定律

    arXiv:2505.04005v3 Announce Type: replace Abstract: The muon optimizer has picked up much attention as of late as a possible replacement to the seemingly omnipresent Adam optimizer. Recently, care has been taken to document the scaling laws of hyper-parameters under muon such as …