[Compstats] Google-UW Machine Learning Seminar: Tuesday @ 2pm MC5158

Pascal Poupart ppoupart at cs.uwaterloo.ca
Fri Sep 10 12:04:05 EDT 2010

  Google-UW Machine Learning Seminar
Hierarchical Bayesian Models of Language and Text (Yee Whye Teh)

One of our alumni, Yee Whye Teh (now at University College London), will 
give an invited talk in the Google-UW Machine Learning seminar series on 
Tuesday @ 2pm in MC5158.  Yee Whye is a rising star who advanced and 
popularized the use of hierarchical Bayesian techniques in Natural 
Language Processing and Machine Learning.  I encourage everyone to 
attend (see abstract below).

cheers, Pascal

Title: Hierarchical Bayesian Models of Language and Text

Speaker: Yee Whye Teh (University College London)
Date: Tuesday, September 14
Time: 2 pm
Location: MC5158


In this talk I will present a new approach to modelling sequence data 
called the sequence memoizer. As opposed to most other sequence models, 
our model does not make any Markovian assumptions. Instead, we use a 
hierarchical Bayesian approach which enforces sharing of statistical 
strength across the different parts of the model. To make computations 
with the model efficient, and to better model the power-law statistics 
often observed in sequence data, we use a Bayesian nonparametric prior 
called the Pitman-Yor process as building blocks in the hierarchical 
model. We show state-of-the-art results on language modelling and text 

This is joint work with Frank Wood, Jan Gasthaus, Cedric Archambeau and 
Lancelot James.


Yee Whye Teh is a Lecturer (equivalent to an assistant professor in US 
system) at the Gatsby Computational Neuroscience Unit, UCL. He is 
interested in machine learning and Bayesian statistics. His current 
focus is on developing Bayesian nonparametric methodologies for 
unsupervised learning, computational linguistics, and genetics. Prior to 
his appointment he was Lee Kuan Yew Postdoctoral Fellow at the National 
University of Singapore and a postdoctoral fellow at University of 
California at Berkeley. He obtained his Ph.D. in Computer Science at the 
University of Toronto in 2003. He is programme co-chair of AISTATS 2010.

Pascal Poupart
Associate Professor
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Waterloo, Ontario
Canada N2L 3G1
Web: http://www.cs.uwaterloo.ca/~ppoupart
Email: ppoupart at cs.uwaterloo.ca
Telephone: 1-519-888-4567x36239
Fax: 1-519-885-1208

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