This page contains some of the slides that I've made for tutorials, etc., generally aimed at the Masters or early PhD students in our lab. If you have any questions, corrections, or comments I'd be glad to hear them. If you'd like me to present on these (or something similar), send me an email, I like doing tutorials!
Bayesian Non-Parametrics Tutorial
This is a simple tutorial about non-parametric Bayesian techniques consisting of several parts. The first part discusses the basic motivations and theory behind the use of Bayesian non-parametrics. The second part demonstrates how to implement unsupervised part of speech induction using Gibbs sampling and the Bayesian HMM, followed by an explanation of how to go from the finite HMM to the infinite HMM. Finally, the tutorial covers some more advanced topics and applications proposed in the recent literature.
