A controlled benchmark of five matrix-factorization problems shows Muon's advantage over AdamW is problem-dependent: it loses or ties on factorization/completion and wins on NMF; learning-rate tuning reorders the methods.
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Reassessing Muon for Matrix Factorization
A controlled benchmark of five matrix-factorization problems shows Muon's advantage over AdamW is problem-dependent: it loses or ties on factorization/completion and wins on NMF; learning-rate tuning reorders the methods.