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Yunbum Kook

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#machine learning Preprint Sep 2026

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 logconcave distributi...

Yunbum Kook, Santosh S. Vempala · 0 citations
Preprint Aug 2026

Spectral Gaps of Hit-and-Run and Coordinate Hit-and-Run

For any convex body $\mathcal{K}\subset\mathbb{R}^{n}$ containing a unit ball, the spectral gap of Hit-and-Run is $\Omega(1/(n^2 C_{\mathsf{PI}}))$, where $C_{\mathsf{PI}}$ is the Poincar\'e constant of the uniform distribution $\pi$ over $\mathcal{K}$. This implies that Hit-and-Run converges to a distribution within $...

Yunbum Kook, Santosh S. Vempala · 2 citations
#machine learning Preprint Aug 2026

On two proofs of $d^2$ mixing of weighted Dikin walks

We study the mixing time of weighted Dikin walks for sampling from exponential distributions on polytopes and truncated positive-semidefinite (PSD) cones. Our first result gives a general total-variation mixing bound under strong self-concordance, $\bar{\nu}$-symmetry, and mixed-trace regularity on the local metric. Th...

Yuansi Chen, Yunbum Kook · 0 citations

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