Yee Whye Teh : Research : Talks
Slides for Bayesian nonparametrics tutorials are here and for courses are here.
Modelling Genetic Variations with Fragmentation-Coagulation Processes.
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Efficient MCMC for Continuous Time Discrete State Systems.
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Bayesian Learning via Stochastic Gradient Langevin Dynamics.
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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.
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Hierarchical Bayesian Nonparametric Models of Language and Text.
The sequence memoizer as a language model and for data compression.
[slides]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.
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