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Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start
We show that logconcave probability measures along the Gaussian cooling path have thin-shell stability, generalizing the thin-shell theorem. This result leads to improved complexity for the fundamental problem of sampling an arbitrary logconcave distribution from a cold start. For (near-)isotropic l
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