Deep Learning for Distribution Estimation
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models
Markov Chain Monte Carlo
Topics in Statistics: Statistical Learning Theory
Entropy-based Variational Scheme for Fast Bayes Learning of Gaussian Mixture
Efficient Discriminative Training Method for Structured Predictions
Probability, Information Theory and Bayesian Inference
Sparse Exponential Weighting and Langevin Monte-Carlo
Deep Belief Networks