4 citations · 12 across the 9 of their papers we have counts for
4 papers · 1 filter
Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
Ruixiao Wang, Xiaohong Chen, Sinho Chewi
This paper considers a non-standard problem of generating samples from a low-temperature Gibbs distribution with \emph{constrained} support, when some of the coordinates of the mod…
Shifted Composition III: Local Error Framework for KL Divergence
Jason M. Altschuler, Sinho Chewi
Coupling arguments are a central tool for bounding the deviation between two stochastic processes, but traditionally have been limited to Wasserstein metrics. In this paper, we app…
Improved analysis for a proximal algorithm for sampling
Yongxin Chen, Sinho Chewi, Adil Salim +1
We study the proximal sampler of Lee, Shen, and Tian (2021) and obtain new convergence guarantees under weaker assumptions than strong log-concavity: namely, our results hold for (…
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
Krishnakumar Balasubramanian, Sinho Chewi, Murat A. Erdogdu +2
For the task of sampling from a density on , where is possibly non-convex but -gradient Lipschitz, we prove that averaged Langevin Monte Ca…