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News/On the Convergence Analysis of Muon
arxiv
PublishedApril 15, 2026 at 4:00 AM
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On the Convergence Analysis of Muon

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2505.23737v2 Announce Type: replace-cross Abstract: The majority of parameters in neural networks are naturally represented as matrices. However, most commonly used optimizers treat these matrix parameters as flattened vectors during optimization, potentially overlooking their inherent structu

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Discussion
Mentioned models
02
  • 01
    Muon
  • 02
    Gradient Descent
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#neural-networks#machine-learning#convergence

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Mentioned models
02
  • 01
    Muon
  • 02
    Gradient Descent
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#neural-networks#machine-learning#convergence

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