Slides for Bayesian nonparametrics tutorials are
here and for courses are
Marginalized Samplers for Normalized Random Measure
Modelling Genetic Variations with
[videolectures @ NIPS 2011 by Yee Whye Teh]
Efficient MCMC for Continuous Time Discrete State Systems.
Bayesian Learning via Stochastic Gradient Langevin Dynamics.
[techtalks @ ICML2011 by Andriy Mnih]
Bayesian Tools for Natural Language Learning.
High level introduction to the various Bayesian tools (hierarchical models, power-law models, etc) that NLP people might find useful.
Hierarchical Bayesian Nonparametric Models of Language and Text.
The sequence memoizer as a language model and for data compression.
[videolectures @ ICML 2009 by Frank Wood]
Bayesian Rose Trees.
A model-based hierarchical clustering method that can deal with noisy, missing, structured data and with which we can use for prediction.