Yee Whye Teh
homepage:http://www.gatsby.ucl.ac.uk/~ywteh/
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Description

Dr Yee Whye Teh is a Lecturer in the Gatsby Computational Neuroscience Unit, University College London.  His research interests include Bayesian and approximate inference techniques for graphical models and unsupervised learning.  He is currently looking into applications in natural language processing, bioinformatics, sensory perception and computer vision.  


Lectures:

tutorial
flag Dirichlet Processes: Tutorial and Practical Course
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
20046 views
  tutorial
flag Nonparametric Bayesian Models
as author at  Machine Learning Summer School (MLSS), Cambridge 2009,
6023 views
tutorial
flag Bayesian Nonparametrics
as author at  Machine Learning Summer School (MLSS ), Bordeaux 2011,
2593 views
  lecture
flag Hierarchical Clustering
as author at  EPSRC Winter School in Mathematics for Data Modelling, Sheffield 2008,
2240 views
lecture
flag Discussion of Alex Smola's talk: Remarks on parallelised MCMC
as author at  Bayesian Nonparametric Methods: Hope or Hype?,
276 views
  lecture
flag Modelling Genetic Variations with Fragmentation-Coagulation Processes
as author at  25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011,
268 views
opening
flag Welcome
as author at  13th International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia 2010,
together with: Neil D. Lawrence,
106 views
  opening
flag Welcome and introduction
as author at  Workshops,
146 views