PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Yee Whye Teh

Click here to see user's record.

Number of EPrints submitted by this user: 28

Bayesian Agglomerative Clustering with Coalescents
Yee Whye Teh, Hal Daume III and Daniel Roy
In: NIPS 2007, 03 Dec - 08 Dec 2007, Vancouver, Canada.

Collapsed Variational Inference for HDP
Yee Whye Teh, Kenichi Kurihara and Max Welling
In: NIPS 2007, 03 Dec - 08 Dec 2007, Vancouver, Canada.

Cooled and Relaxed Survey Propagation for MRFs
Hai Leong Chieu, Wee Sun Lee and Yee Whye Teh
In: NIPS 2007, 03 Dec - 08 Dec 2007, Vancouver, Canada.

Hierarchical Bayesian Nonparametric Models with Applications
Yee Whye Teh and Michael Jordan
In: Bayesian Nonparametrics: Principles and Practice (2009) Cambridge University Press , Cambridge, UK .

Hierarchical Dirichlet Trees for Information Retrieval
Yee Whye Teh and Gholamreza Haffari
In: NAACL-HLT 2009, 31 May - 05 Jun 2009, Colorado, USA.

The Mondrian Process
Yee Whye Teh and Daniel Roy
In: NIPS 2008, 08 Dec - 13 Dec 2008, Vancouver, Canada.

A Mixture Model for the Evolution of Gene Expression in Non-homogeneous Datasets
Gerald Quon, Yee Whye Teh, Esther Chan, Timothy Hughes, Michael Brudno and Quaid Morris
In: NIPS 2008, 08 Dec - 13 Dec 2008, Vancouver, Canada.

Hybrid Variational/Gibbs Inference in Topic Models
Max Welling, Yee Whye Teh and Bert Kappen
In: UAI 2008, 10-12 Jul 2008, Helsinki, Finland.

Infinite Hierarchical Hidden Markov Models
Katherine Heller, Yee Whye Teh and Dilan Gorur
In: AISTATS 2009, 16-18 Apr 2009, Florida, USA.

A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation
Frank Wood and Yee Whye Teh
In: AISTATS 2009, 16-18 Apr 2009, Florida, USA.

An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering
Dilan Gorur and Yee Whye Teh
In: NIPS 2008, 08 Dec - 13 Dec 2008, Vancouver, Canada.

Lossless Compression based on the Sequence Memoizer
Jan Gasthaus, Frank Wood and Yee Whye Teh
In: DCC 2010, 24-26 Mar 2010, Snowbird, Utah, USA.

Indian Buffet Processes with Power-law Behavior
Yee Whye Teh and Dilan Gorur
In: NIPS 2009, 7-12 Dec 2009, Vancouver, Canada.

Spatial Normalized Gamma Processes
Vinayak Rao and Yee Whye Teh
In: NIPS 2009, 7-12 Dec 2009, Vancouver, Canada.

Hierarchical Bayesian Nonparametric Models with Applications
Yee Whye Teh and Michael I. Jordan
In: Bayesian Nonparametrics Cambridge Series in Statistical and Probabilistic Mathematics (28). (2010) Cambridge University Press , Cambridge, UK . ISBN 9780521513463

On Smoothing and Inference for Topic Models
Arthur Asuncion, Max Welling, Padraic Smyth and Yee Whye Teh
In: UAI 2009, 18-21 Jul 2009, Montreal, Canada.

A Stochastic Memoizer for Sequence Data
Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James and Yee Whye Teh
In: ICML 2009, 14-18 Jun 2009, Montreal, Canada.

Variational Inference for the Indian Buffet Process
Finale Doshi, Kurt Tadayuki Miller, Jurgen van Gael and Yee Whye Teh
In: AISTATS 2009, 16-18 Apr 2009, Clearwater, Florida, USA.

Mixed cumulative distribution networks
Ricardo Silva, Charles Blundell and Yee Whye Teh
In: AISTATS 2011, 11-13 Apr 2011, Florida, USA.

Bayesian Rose Trees
Charles Blundell, Yee Whye Teh and Katherine Heller
In: UAI 2010, 8-11 Jul 2010, California, USA.

Improvements to the Sequence Memoizer
Jan Gasthaus and Yee Whye Teh
In: NIPS 2010, 6-11 Dec 2010, Vancouver, Canada.

Discovering Non-binary Hierarchical Structures with Bayesian Rose Trees
Charles Blundell, Yee Whye Teh and Katherine Heller
In: Mixture Estimation and Applications (2010) John Wiley & Sons .

Concave-Convex Adaptive Rejection Sampling
Dilan Gorur and Yee Whye Teh
Journal of Computational and Graphical Statistics 2010.

The Sequence Memoizer
Frank Wood, Jan Gasthaus, Cedric Archambeau, Lancelot James and Yee Whye Teh
Communications of the Association for Computing Machines Volume 54, Number 2, pp. 91-98, 2011.

Bayesian Learning via Stochastic Gradient Langevin Dynamics
Max Welling and Yee Whye Teh
In: ICML 2011, 28 Jun - 02 Jul 2011, Washington, USA.

Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Vinayak Rao and Yee Whye Teh
In: UAI 2011, 14 Jul - 17 Jul 2011, Barcelona, Spain.

Gaussian Process Modulated Renewal Processes
Vinayak Rao and Yee Whye Teh
In: NIPS 2011, 12 Dec - 17 Dec 2011, Granada, Spain.

Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee Whye Teh, Charles Blundell and Lloyd Elliott
In: NIPS 2011, 12 Dec - 17 Dec 2011, Granada, Spain.