Markov Chain Monte Carlo

Deep Generative Classifier with Short Run Inference

Deep generative classifier employs Short Run Markov Chain Monte Carlo inference with Langevin dynamics and backpropagation through time

Learning Multi-Layer Latent Variable Model with Short Run MCMC Inference Dynamics

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

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