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New paper identifies scaling issue in Muon optimizer

By PulseAugur Editorial · [1 sources] ·

A new paper explores the scaling laws of the Muon optimizer, a potential alternative to the Adam optimizer. The research theoretically and empirically demonstrates that the iterative orthogonalization procedure within Muon may encounter issues as singular values of random matrices decrease with scale. The paper, however, does not propose solutions to this identified scaling behavior. AI

IMPACT Identifies a potential scaling limitation in a novel optimizer, relevant for researchers developing new training methodologies.

RANK_REASON Academic paper detailing theoretical and empirical findings on an optimization algorithm. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New paper identifies scaling issue in Muon optimizer

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Academic paper detailing theoretical and empirical findings on an optimization algorithm. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Iterative Orthogonalization Scaling Laws

    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 …

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