Muon achieves dimension-free saddle-point escape through non-linear spectral shaping, resolvent calculus, and structural incoherence, yielding an algebraically dimension-free escape bound.
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model.Statistica Sinica, 17(4):1617–1642
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Reformulating covariance structure into self- and cross-components with a relative-error constraint enables stable sign and direction recovery in SEM for p > n settings.
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Dimension-Free Saddle-Point Escape in Muon
Muon achieves dimension-free saddle-point escape through non-linear spectral shaping, resolvent calculus, and structural incoherence, yielding an algebraically dimension-free escape bound.
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Covariance-Based Structural Equation Modeling in Small-Sample Settings with $p>n$
Reformulating covariance structure into self- and cross-components with a relative-error constraint enables stable sign and direction recovery in SEM for p > n settings.