Learning Deep Generative Models with Annealed Importance Sampling

Xinqiang Ding, David J. Freedman

Variational inference (VI) and Markov chain Monte Carlo (MCMC) are two main approximate approaches for learning deep generative models by maximizing marginal likelihood. In this pa…