NIPS Proceedings
^{β}
Books
Yee W. Teh
24 Papers
Bayesian nonparametric models for ranked data
(2012)
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
(2012)
MCMC for continuous-time discrete-state systems
(2012)
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
(2012)
Searching for objects driven by context
(2012)
Gaussian process modulated renewal processes
(2011)
Modelling Genetic Variations using Fragmentation-Coagulation Processes
(2011)
Improvements to the Sequence Memoizer
(2010)
Indian Buffet Processes with Power-law Behavior
(2009)
Spatial Normalized Gamma Processes
(2009)
A mixture model for the evolution of gene expression in non-homogeneous datasets
(2008)
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
(2008)
Dependent Dirichlet Process Spike Sorting
(2008)
The Infinite Factorial Hidden Markov Model
(2008)
The Mondrian Process
(2008)
Bayesian Agglomerative Clustering with Coalescents
(2007)
Collapsed Variational Inference for HDP
(2007)
Cooled and Relaxed Survey Propagation for MRFs
(2007)
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
(2006)
Making Latin Manuscripts Searchable using gHMM's
(2004)
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
(2004)
Linear Response for Approximate Inference
(2003)
Automatic Alignment of Local Representations
(2002)
The Unified Propagation and Scaling Algorithm
(2001)