Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization
Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization explores Muon is an optimizer designed for stable training in the presence of heavy-tailed noise.. Commercial viability score: 2/10 in Optimization Algorithms.
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