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SUMMARY:Dirichlet Processes and Hierarchical Dirichlet Processes - Dr Yee 
 Whye Teh\, Gatsby Unit\, UCL
DTSTART:20070301T160000Z
DTEND:20070301T180000Z
UID:TALK6582@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:Dirichlet processes (DPs) are the most widely used class of Ba
 yesian nonparametric models.  DPs are most commonly used for mixture model
 ling where the nonparametric nature of DPs provide an elegant\nalternative
  to model selection of finite mixtures.  Hierarchical Dirichlet processes 
 (HDPs) are an extension of DPs to mixture\nmodelling of grouped data\, whe
 re mixture components can be shared\nacross different groups.  I shall giv
 e an in depth tutorial into both\nDPs and HDPs.  In particular I shall cov
 er the different\nrepresentations of DPs and HDPs and applications of DPs 
 and HDPs in a\nvariety of fields.  If time permits I shall touch upon gene
 ralizations\nof these models and inference schemes.\n
LOCATION:LR4\, Engineering\, Department of
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