# Research : Talks

Slides for Bayesian nonparametrics tutorials are here and for courses are here.

**Marginalized Samplers for Normalized Random Measure Mixture Models**.

[long slides] [short slides]

**Modelling Genetic Variations with Fragmentation-Coagulation Processes**.

[slides] [videolectures @ NIPS 2011 by Yee Whye Teh]

**Efficient MCMC for Continuous Time Discrete State Systems**.

[slides]

**Bayesian Learning via Stochastic Gradient Langevin Dynamics**.

[slides] [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.

[slides]

**Hierarchical Bayesian Nonparametric Models of Language and Text**.

The sequence memoizer as a language model and for data compression.

[slides] [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.

[slides]