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20182026
most citedConvergence of score-based generative modeling for general data distributions

4 citations · 9 across the 10 of their papers we have counts for

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2 papers · 1 filter

math.ST2024

Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression

Holden Lee, Kexin Zhang

We propose using a modified conductance-based method to study the mixing time of an important class of two-block Gibbs samplers, the data augmentation (DA) algorithm. %, which is o…

math.ST2024

Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition

Holden Lee, Matheau Santana-Gijzen

We prove bounds on the variance of a function under the empirical measure of the samples obtained by the Sequential Monte Carlo (SMC) algorithm, with time complexity depending…