A new Stein-method-based Gaussian approximation controls the full correlation structure of Ising models with a single negative eigenvalue outlier, delivering near-optimal mixing times where prior spectral methods break down.
Normal approximations with Malliavin calculus: from Stein's method to universality , volume 192
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Fast mixing in Ising models with a negative spectral outlier via Gaussian approximation
A new Stein-method-based Gaussian approximation controls the full correlation structure of Ising models with a single negative eigenvalue outlier, delivering near-optimal mixing times where prior spectral methods break down.