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## Search the dblp DataBase
Yee Whye Teh:
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## Publications of Author- Yee Whye Teh
**A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes.**[Citation Graph (0, 0)][DBLP] ACL, 2006, pp:- [Conf] - Fahiem Bacchus, Yee Whye Teh
**Making Forward Chaining Relevant.**[Citation Graph (0, 0)][DBLP] AIPS, 1998, pp:54-61 [Conf] - Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth
**Names and Faces in the News.**[Citation Graph (0, 0)][DBLP] CVPR (2), 2004, pp:848-854 [Conf] - Sham Kakade, Yee Whye Teh, Sam T. Roweis
**An Alternate Objective Function for Markovian Fields.**[Citation Graph (0, 0)][DBLP] ICML, 2002, pp:275-282 [Conf] - Max Welling, Michal Rosen-Zvi, Yee Whye Teh
**Approximate inference by Markov chains on union spaces.**[Citation Graph (0, 0)][DBLP] ICML, 2004, pp:- [Conf] - Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh
**Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.**[Citation Graph (0, 0)][DBLP] ICML, 2006, pp:1049-1056 [Conf] - Kenichi Kurihara, Max Welling, Yee Whye Teh
**Collapsed Variational Dirichlet Process Mixture Models.**[Citation Graph (0, 0)][DBLP] IJCAI, 2007, pp:2796-2801 [Conf] - Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom
**Making Latin Manuscripts Searchable using gHMMs.**[Citation Graph (0, 0)][DBLP] NIPS, 2004, pp:- [Conf] - Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh
**Learning to Parse Images.**[Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:463-469 [Conf] - Yee Whye Teh, Geoffrey E. Hinton
**Rate-coded Restricted Boltzmann Machines for Face Recognition.**[Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:908-914 [Conf] - Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei
**Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.**[Citation Graph (0, 0)][DBLP] NIPS, 2004, pp:- [Conf] - Yee Whye Teh, Sam T. Roweis
**Automatic Alignment of Local Representations.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:841-848 [Conf] - Yee Whye Teh, Max Welling
**The Unified Propagation and Scaling Algorithm.**[Citation Graph (0, 0)][DBLP] NIPS, 2001, pp:953-960 [Conf] - Max Welling, Yee Whye Teh
**Linear Response for Approximate Inference.**[Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf] - Geoffrey E. Hinton, Yee Whye Teh
**Discovering Multiple Constraints that are Frequently Approximately Satisfied.**[Citation Graph (0, 0)][DBLP] UAI, 2001, pp:227-234 [Conf] - Max Welling, Yee Whye Teh
**Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation.**[Citation Graph (0, 0)][DBLP] UAI, 2001, pp:554-561 [Conf] - Max Welling, Yee Whye Teh
**Approximate inference in Boltzmann machines.**[Citation Graph (0, 0)][DBLP] Artif. Intell., 2003, v:143, n:1, pp:19-50 [Journal] - Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
**Energy-Based Models for Sparse Overcomplete Representations.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2003, v:4, n:, pp:1235-1260 [Journal] - Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh
**A Fast Learning Algorithm for Deep Belief Nets.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2006, v:18, n:7, pp:1527-1554 [Journal] - Max Welling, Yee Whye Teh
**Linear Response Algorithms for Approximate Inference in Graphical Models.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2004, v:16, n:1, pp:197-221 [Journal] - Yee Whye Teh, David Newman, Max Welling
**A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.**[Citation Graph (0, 0)][DBLP] NIPS, 2006, pp:1353-1360 [Conf] - Max Welling, Thomas P. Minka, Yee Whye Teh
**Structured Region Graphs: Morphing EP into GBP.**[Citation Graph (0, 0)][DBLP] UAI, 2005, pp:609-614 [Conf] **Lossless Compression Based on the Sequence Memoizer.**[Citation Graph (, )][DBLP]**Beam sampling for the infinite hidden Markov model.**[Citation Graph (, )][DBLP]**A stochastic memoizer for sequence data.**[Citation Graph (, )][DBLP]**Hierarchical Dirichlet Trees for Information Retrieval.**[Citation Graph (, )][DBLP]**Collapsed Variational Inference for HDP.**[Citation Graph (, )][DBLP]**Cooled and Relaxed Survey Propagation for MRFs.**[Citation Graph (, )][DBLP]**Bayesian Agglomerative Clustering with Coalescents.**[Citation Graph (, )][DBLP]**Dependent Dirichlet Process Spike Sorting.**[Citation Graph (, )][DBLP]**The Infinite Factorial Hidden Markov Model.**[Citation Graph (, )][DBLP]**An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering.**[Citation Graph (, )][DBLP]**A mixture model for the evolution of gene expression in non-homogeneous datasets.**[Citation Graph (, )][DBLP]**The Mondrian Process.**[Citation Graph (, )][DBLP]**Hybrid Variational/Gibbs Collapsed Inference in Topic Models.**[Citation Graph (, )][DBLP]**Improving Word Sense Disambiguation Using Topic Features.**[Citation Graph (, )][DBLP]**Mixed Cumulative Distribution Networks**[Citation Graph (, )][DBLP]
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