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SUMMARY:Bayesian nonparametrics: Dependency and Constraint Modeling - Chan
 gyou Chen (ANU)
DTSTART:20140220T100000Z
DTEND:20140220T110000Z
UID:TALK51052@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:In this talk I will briefly overview my research during my PhD
 \, and focus on two works I have done. One is on Bayesian nonparametric de
 pendency modelling with dependent normalized random measures. The construc
 tion of these dependency models allows easy manipulating of the dependency
  structures as well as efficient posterior inference. As a second work\, I
  will talk about how to include additional constraints into Bayesian nonpa
 rametric models via the Regularized Bayesian Inference (RegBayes). Specifi
 cally\, I will introduce the Bayesian max-margin clustering framework deri
 ved from RegBayes\, which has shown significant improvements over other ba
 selines. Finally future plan will be discussed.
LOCATION:Engineering Department\, CBL Room BE-438
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