works on
interior-point methods 1mixing time 1polytopes 1sampling algorithms 1self-concordance 1

From the 1 of 12 linked papers with an AI index.

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20242026
most citedIn-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

1 citations · 1 across the 5 of their papers we have counts for

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math.ST2026

Zeroth-order Logconcave Sampling

Yunbum Kook, Santosh S. Vempala

We study the zeroth-order query complexity of sampling from a general logconcave distribution: given access to an evaluation oracle for a convex function $V:\mathbb{R}^{d}\rightarr…

math.ST2024

Covariance estimation using Markov chain Monte Carlo

Yunbum Kook, Matthew S. Zhang

We investigate the complexity of covariance matrix estimation for Gibbs distributions based on dependent samples from a Markov chain. We show that when satisfies a Poincaré i…

math.ST2024

Sampling from the Mean-Field Stationary Distribution

Yunbum Kook, Matthew S. Zhang, Sinho Chewi +2

We study the complexity of sampling from the stationary distribution of a mean-field SDE, or equivalently, the complexity of minimizing a functional over the space of probability m…