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]