Markov Chain Monte Carlo

Learning Deep Generative Models with Short Run Inference Dynamics

Short Run MCMC sampling is utilized in a deep generative model with multiple layers of latent variables

Masters Thesis in Generative Modeling in Vision

Thesis for UCLA Computer Science Masters program currently in progress

Exact Sampling with Coupled Markov Chains and Swendsen-Wang Cluster Sampling of the Ising Model

Convergence analysis of exact sampling with Gibbs sampler and coupled Markov chains vs. cluster sampling with Swendsen-Wang algorithm

Importance Sampling and Effective Number of Samples

Estimating the number of self-avoiding walks with importance sampling and effective sample size