@article{TehThiVol2014a, Arxiv = {arxiv:1409.0578}, Author = {Y. W. Teh and A. H. Thi\'ery and S. J. Vollmer }, Journal = {submitted}, Title = {Consistency and Fluctuations for Stochastic Gradient {L}angevin Dynamics}, Year = {2014}} @article{MorTehPer2014a, Arxiv = {arXiv:1407.5017}, Author = {P. G. Moreno and Y. W. Teh and F. Perez-Cruz and A. Art\'es-Rodr\'iguez}, Journal = {submitted}, Title = {{B}ayesian Nonparametric Crowdsourcing}, Year = {2014}} @article{LomFavTeh2014a, Arxiv = {arXiv:1407.4211}, Author = {M. Lomeli and S. Favaro and Y. W. Teh}, Journal = {submitted}, Title = {A Marginal Sampler for {$\sigma$}-Stable {P}oisson-{K}ingman Mixture Models}, Year = {2014}} @article{HerMorTeh2014a, Arxiv = {arXiv:1406.0071}, Author = {T. Herlau and M. M\orup and Y. W. Teh and M. N. Schmidt}, Journal = {submitted}, Title = {Adaptive Reconfiguration Moves for Dirichlet Mixtures}, Year = {2014}} @article{FavNipTeh2014b, Arxiv = {arXiv:1401.0303}, Author = {S. Favaro and B. Nipoti and Y. W. Teh}, Journal = {under review}, Title = {Rediscovery of {G}ood-{T}uring Estimators via {B}ayesian Nonparametrics}, Year = {2014}} @unpublished{TehEllBlu2013a, Author = {Y. W. Teh and L. T. Elliott and C. Blundell}, Note = {Submitted}, Title = {{B}ayesian Nonparametric Modelling of Genetic Variations using Fragmentation-Coagulation Processes}, Year = {2013}} @inproceedings{PaiWooDou2014a, Arxiv = {arXiv:1407.2864}, Author = {B. Paige and F. Wood and A. Doucet and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Asynchronous Anytime Sequential Monte Carlo}, Year = {2014}} @inproceedings{LakRoyTeh2014a, Arxiv = {arXiv:1406.2673}, Author = {B. Lakshminarayanan and D. Roy and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {{M}ondrian Forests: Efficient Online Random Forests}, Year = {2014}} @inproceedings{XuTehZhu2014a, Author = {M. Xu and Y. W. Teh and J. Zhu and B. Zhang}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Distributed Context-Aware Bayesian Posterior Sampling via Expectation Propagation}, Year = {2014}} @article{FavLomTeh2014a, Author = {S. Favaro and M. Lomeli and Y. W. Teh}, Journal = {Statistics and Computing}, Title = {On a Class of {$\sigma$}-stable {P}oisson-{K}ingman Models and an Effective Marginalized Sampler}, Year = {2014}} @article{FavLomNip2014a, Author = {S. Favaro and M. Lomeli and B. Nipoti and Y. W. Teh}, Doi = {10.1214/14-EJS921}, Journal = {Electronic Journal of Statistics}, Pages = {1063-1085}, Title = {On the Stick-Breaking Representation of {$\sigma$}-stable {P}oisson-{K}ingman Models}, Volume = {8}, Year = {2014}} @article{CarTehMur2014a, Author = {F. Caron and Y. W. Teh and B. T. Murphy}, Title = {{B}ayesian Nonparametric {P}lackett-{L}uce Models for the Analysis of Preferences for College Degree Programmes}, Journal = {Annals of Applied Statistics}, Number = {2}, Pages = {1145-1181}, Volume = {8}, Arxiv = {1211.5037}, Year = {2014}} @unpublished{LakTeh2013a, Author = {B. Lakshminarayanan and Y. W. Teh}, Note = {arXiv:1305.0015}, Title = {Inferring Ground Truth from Multi-annotator Ordinal Data: A Probabilistic Approach}, Year = {2013}} @inproceedings{PatTeh2013a, Author = {S. Patterson and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Stochastic Gradient {R}iemannian {L}angevin Dynamics on the Probability Simplex}, Year = {2013}} @inproceedings{BluTeh2013a, Author = {C. Blundell and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {{B}ayesian Hierarchical Community Discovery}, Year = {2013}} @inproceedings{ZhaLeeTeh2013a, Author = {X. Zhang and W. S. Lee and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Learning with Invariances via Linear Functionals on Reproducing Kernel {H}ilbert Space}, Year = {2013}} @article{RaoTeh2013a, Title = {Fast {MCMC} sampling for {M}arkov jump processes and extensions}, journal = {Journal of Machine Learning Research}, volume = {14}, pages = {3207-3232}, Author = {V. Rao and Y. W. Teh}, Note = {arXiv:1208.4818}, Year = {2013}} @article{FavTeh2013a, Author = {S. Favaro and Y. W. Teh}, Journal = {Statistical Science}, Title = {{MCMC} for Normalized Random Measure Mixture Models}, volume = {28}, number = {3}, pages = {335-359}, Year = {2013}} @inproceedings{LakRoyTeh2013a, Author = {B. Lakshminarayanan and D. Roy and Y. W. Teh}, Booktitle = {ICML}, Title = {Top-down Particle Filtering for {B}ayesian Decision Trees}, Year = {2013}} @inproceedings{CheRaoBun2013a, Author = {C. Chen and V. A. Rao and W. Buntine and Y. W. Teh}, Booktitle = {Proceedings of the International Conference on Machine Learning}, Title = {Dependent Normalized Random Measures}, Year = {2013}} @inproceedings{HeeSilTeh2012a, Author = {N. Heess and D. Silver and Y. W. Teh}, Booktitle = {JMLR Workshop and Conference Proceedings: EWRL 2012}, Title = {Actor-Critic Reinforcement Learning with Energy-Based Policies}, Year = {2012}} @inproceedings{AleHeeTeh2012a, Author = {B. Alexe and N. Heess and Y. W. Teh and V. Ferrari}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Searching for Objects Driven by Context}, Year = {2012}} @inproceedings{EllTeh2012a, Author = {L. Elliott and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Scalable Imputation of Genetic Data with a Discrete Fragmentation-Coagulation Process}, Year = {2012}} @inproceedings{CarTeh2012a, Author = {F. Caron and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Bayesian Nonparametric Models for Ranked Data}, Year = {2012}} @inproceedings{RaoTeh2012a, Author = {V. Rao and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {{MCMC} for Continuous-Time Discrete-State Systems}, Year = {2012}} @inproceedings{MniTeh2012b, Author = {Andriy Mnih and Yee Whye Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Learning Label Trees for Probabilistic Modelling of Implicit Feedback}, Year = {2012}} @inproceedings{HeeSilTeh2012a, Author = {N. Heess and D. Silver and Y. W. Teh}, Booktitle = {JMLR Workshop and Conference Proceedings: EWRL 2012}, Title = {Actor-Critic Reinforcement Learning with Energy-Based Policies}, Year = {2012}} @inproceedings{MniTeh2012a, Author = {A. Mnih and Y. W. Teh}, Booktitle = {Proceedings of the International Conference on Machine Learning}, Title = {A Fast and Simple Algorithm for Training Neural Probabilistic Language Models}, Year = {2012}} @inproceedings{TehBluEll2011a, Author = {Y. W. Teh and C. Blundell and L. T. Elliott}, Booktitle = {Advances In Neural Information Processing Systems}, Title = {Modelling Genetic Variations with Fragmentation-Coagulation Processes}, Year = {2011}} @inproceedings{RaoTeh2011b, Author = {V. Rao and Y. W. Teh}, Booktitle = {Advances In Neural Information Processing Systems}, Title = {Gaussian Process Modulated Renewal Processes}, Year = {2011}} @inproceedings{RaoTeh2011a, Author = {V. Rao and Y. W. Teh}, Booktitle = {Proceedings of the International Conference on Uncertainty in Artificial Intelligence}, Title = {Fast {MCMC} sampling for {M}arkov jump processes and continuous time {B}ayesian networks}, Year = {2011}} @inproceedings{WelTeh2011a, Author = {M. Welling and Y. W. Teh}, Booktitle = {Proceedings of the International Conference on Machine Learning}, Title = {{B}ayesian Learning via Stochastic Gradient {L}angevin Dynamics}, Year = {2011}} @inproceedings{SilBluTeh2011a, Author = {R. Silva and C. Blundell and Y. W. Teh}, Booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics}, Title = {Mixed Cumulative Distribution Networks}, Year = {2011}} @article{GorTeh2011a, Author = {D. {G\"or\"ur} and Y. W. Teh}, Journal = {Journal of Computational and Graphical Statistics}, Title = {Concave-Convex Adaptive Rejection Sampling}, Year = {2011}} @article{WooGasArc2011a, Author = {F. Wood and J. Gasthaus and C. Archambeau and L. James and Y. W. Teh}, Journal = {Communications of the Association for Computing Machines}, Number = {2}, Pages = {91-98}, Title = {The Sequence Memoizer}, Volume = {54}, Year = {2011}} @incollection{BluTehHel2011a, Author = {C. Blundell and Y. W. Teh and K. A. Heller}, Booktitle = {Mixture Estimation and Applications}, Editor = {K. Mengersen and C. P. Robert and M. Titterington}, Publisher = {John Wiley \& Sons}, Title = {Discovering Non-binary Hierarchical Structures with {B}ayesian Rose Trees}, Year = {2011}} @inproceedings{GasTeh2010a, Author = {J. Gasthaus and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Improvements to the Sequence Memoizer}, Year = {2010}} @inproceedings{BluTehHel2010a, Author = {C. Blundell and Y. W. Teh and K. A. Heller}, Booktitle = {Proceedings of the International Conference on Uncertainty in Artificial Intelligence}, Title = {{B}ayesian Rose Trees}, Year = {2010}} @incollection{OrbTeh2010a, Author = {P. Orbanz and Y. W. Teh}, Booktitle = {Encyclopedia of Machine Learning}, Publisher = {Springer}, Title = {{B}ayesian Nonparametric Models}, Year = {2010}} @incollection{Teh2010a, Author = {Y. W. Teh}, Booktitle = {Encyclopedia of Machine Learning}, Publisher = {Springer}, Title = {{D}irichlet Processes}, Year = {2010}} @inproceedings{GasWooTeh2010a, Author = {J. Gasthaus and F. Wood and Y. W. Teh}, Booktitle = {Data Compression Conference}, Title = {Lossless compression based on the Sequence Memoizer}, Year = {2010}} @incollection{TehJor2010a, Author = {Y. W. Teh and M. I. Jordan}, Title = {Hierarchical {B}ayesian Nonparametric Models with Applications}, Booktitle = {Bayesian Nonparametrics: Principles and Practice}, Editor = {N. Hjort and C. Holmes and P. M{\"u}ller and S. Walker}, Publisher = {Cambridge University Press}, Year = {2010}} @inproceedings{TehGor2009a, Author = {Y. W. Teh and D. {G\"or\"ur}}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {{I}ndian Buffet Processes with Power-law Behavior}, Year = {2009}} @inproceedings{RaoTeh2009a, Author = {V. Rao and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {Spatial Normalized Gamma Processes}, Year = {2009}} @inproceedings{AsuWelSmy2009a, Author = {A. Asuncion and M. Welling and P. Smyth and Y. W. Teh}, Title = {On Smoothing and Inference for Topic Models}, Booktitle = {Proceedings of the International Conference on Uncertainty in Artificial Intelligence}, Year = {2009}} @inproceedings{WooArcGas2009a, Author = {F. Wood and C. Archambeau and J. Gasthaus and L. F. James and Y. W. Teh}, Title = {A Stochastic Memoizer for Sequence Data}, Booktitle = {Proceedings of the International Conference on Machine Learning}, Year = {2009}} @inproceedings{DosMilVan2009a, Author = {F. Doshi and K. T. Miller and J. {Van Gael} and Y. W. Teh}, Title = {Variational Inference for the {I}ndian Buffet Process}, Booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics}, Volume = {12}, Year = {2009}} @inproceedings{HelTehGor2009a, Author = {K. A. Heller and Y. W. Teh and D. {G\"or\"ur}}, Booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics}, Title = {Infinite Hierarchical Hidden {M}arkov Models}, Volume = {12}, Year = {2009}} @inproceedings{WooTeh2009a, Author = {F. Wood and Y. W. Teh}, Title = {A Hierarchical Nonparametric {B}ayesian Approach to Statistical Language Model Domain Adaptation}, Booktitle = {Proceedings of the International Conference on Artificial Intelligence and Statistics}, Volume = {12}, Year = {2009}} @inproceedings{HafTeh2009a, Author = {G. R. Haffari and Y. W. Teh}, Title = {Hierarchical {D}irichlet Trees for Information Retrieval}, Booktitle = {Proceedings of the Annual Meeting of the North American Association for Computational Linguistics and the Human Language Technology Conference}, Year = {2009}} @inproceedings{RoyTeh2009a, Author = {D. M. Roy and Y. W. Teh}, Title = {The {M}ondrian Process}, Booktitle = {Advances in Neural Information Processing Systems}, Volume = {21}, Year = {2009}} @inproceedings{GorTeh2009a, Author = {D. {G\"or\"ur} and Y. W. Teh}, Booktitle = {Advances in Neural Information Processing Systems}, Title = {An Efficient Sequential {M}onte {C}arlo Algorithm for Coalescent Clustering}, Volume = {21}, Year = {2009}} @inproceedings{VanTehGha2009a, Author = {J. {Van Gael} and Y. W. Teh and Z. Ghahramani}, Title = {The Infinite Factorial Hidden {M}arkov Model}, Booktitle = {Advances in Neural Information Processing Systems}, Volume = {21}, Year = {2009}} @inproceedings{GasWooGor2009a, Author = {J. Gasthaus and F. Wood and D. {G\"or\"ur} and Y. W. Teh}, Title = {Dependent {D}irichlet Process Spike Sorting}, Booktitle = {Advances in Neural Information Processing Systems}, Volume = {21}, Year = {2009}} @inproceedings{QuoTehCha2009a, Author = {G. Quon and Y. W. Teh and E. Chan and M. Brudno and T. Hughes and Q. D. Morris}, Title = {A Mixture Model for the Evolution of Gene Expression in Non-homogeneous Datasets}, Booktitle = {Advances in Neural Information Processing Systems}, Volume = {21}, Year = {2009}} @inproceedings{WelTehKap2008a, Author = {M. Welling and Y. W. Teh and H. J. Kappen}, Title = {Hybrid {Variational/Gibbs} Collapsed Inference in Topic Models}, Booktitle = {Proceedings of the International Conference on Uncertainty in Artificial Intelligence}, Volume = {24}, Year = {2008}} @inproceedings{VanSaaTeh2008a, Author = {J. {Van Gael} and Y. Saatci and Y. W. Teh and Z. Ghahramani}, Title = {Beam Sampling for the Infinite Hidden {M}arkov Model}, Booktitle = {Proceedings of the International Conference on Machine Learning}, Volume = {25}, Year = {2008}} @inproceedings{TehDauRoy2008, author= "Y. W. Teh and H. {Daum\'e III} and D. M. Roy", title= "{B}ayesian Agglomerative Clustering with Coalescents", booktitle= "Advances in Neural Information Processing Systems", volume= "20", year= "2008" } @inproceedings{TehKurWel2008, author= "Y. W. Teh and K. Kurihara and M. Welling", title= "Collapsed Variational Inference for {HDP}", booktitle= "Advances in Neural Information Processing Systems", volume= "20", year= "2008" } @inproceedings{ChiLeeTeh2008, author= "H. L. Chieu and W. S. Lee and Y. W. Teh", title= "Cooled and Relaxed Survey Propagation for {MRFs}", booktitle= "Advances in Neural Information Processing Systems", volume= "20", year= "2008" } @unpublished{BerBerEdw2007, author= "T. L. Berg and A. C. Berg and J. Edwards and M. Maire and R. White and Y. W. Teh and E. Learned-Miller and D. A. Forsyth", title= "Names and Faces", note= "Submitted", year= "2007" } @inproceedings{LimTeh2007, author= "Y. J. Lim and Y. W. Teh", title= "Variational {B}ayesian Approach to Movie Rating Prediction", booktitle= "Proceedings of KDD Cup and Workshop", year= "2007" } @inproceedings{CaiLeeTeh2007b, author= "J. F. Cai and W. S. Lee and Y. W. Teh", title= "Improving Word Sense Disambiguation Using Topic Features", booktitle= "Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-coNLL)", pages= "1015--1023", year= "2007", url= {http://www.aclweb.org/anthology/D/D07/D07-1108} } @inproceedings{CaiLeeTeh2007a, author= "J. F. Cai and W. S. Lee and Y. W. Teh", title= "{NUS-ML}: Improving Word Sense Disambiguation Using Topic Features", booktitle= "Proceedings of the International Workshop on Semantic Evaluations", volume= "4", year= "2007" } @inproceedings{TehGorGha2007, author= "Y. W. Teh and D. {G\"or\"ur} and Z. Ghahramani", title= "Stick-breaking Construction for the {I}ndian Buffet Process", booktitle= "Proceedings of the International Conference on Artificial Intelligence and Statistics", volume= "11", year= "2007" } @inproceedings{KurWelTeh2007, title= "Collapsed Variational {D}irichlet Process Mixture Models", author= "K. Kurihara and M. Welling and Y. W. Teh", booktitle= "Proceedings of the International Joint Conference on Artificial Intelligence", volume= "20", year= "2007" } @inproceedings{TehNewWel2007, title= "A Collapsed Variational {B}ayesian Inference Algorithm for Latent {D}irichlet Allocation", author= "Y. W. Teh and D. Newman and M. Welling", booktitle= "Advances in Neural Information Processing Systems", volume= "19", year= "2007" } @article{TehJorBea2006, title= "Hierarchical {D}irichlet Processes", author= "Y. W. Teh and M. I. Jordan and M. J. Beal and D. M. Blei", journal= "Journal of the American Statistical Association", volume= "101", number= "476", pages= "1566-1581", year= "2006" } @article{HinOsiTeh2006, title= "A Fast Learning Algorithm for Deep Belief Networks", author= "G. E. Hinton and S. Osindero and Y. W. Teh", journal= "Neural Computation", volume= "18", number= "7", pages= "1527-1554", year= "2006" } @article{HinOsiWel2006, title= "Unsupervised Discovery of Non-Linear Structure using Contrastive Backpropagation", author= "G. E. Hinton and S. Osindero and M. Welling and Y. W. Teh", journal= "Cognitive Science", volume= "30", number= "4", year= "2006" } @inproceedings{Teh2006b, title= "A Hierarchical {B}ayesian Language Model based on {P}itman-{Y}or Processes", author= "Y. W. Teh", booktitle= "Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics", pages= "985-992", year= "2006", url= {http://www.aclweb.org/anthology/P/P06/P06-1124} } @inproceedings{XinSohJor2006, title= "{B}ayesian Multi-Population Haplotype Inference via a Hierarchical {D}irichlet Process Mixture", author= "E. P. Xing and K.-A. Sohn and M. I. Jordan and Y. W. Teh", booktitle= "Proceedings of the International Conference on Machine Learning", volume= "23", year= "2006" } @techreport{LeeZhaTeh2006, author= "W. S. Lee and X. Zhang and Y. W. Teh", title= "Semi-supervised Learning in Reproducing Kernel {H}ilbert Spaces Using Local Invariances", number= "TRB3/06", institution= "School of Computing, National University of Singapore", year= "2006" } @techreport{Teh2006a, author= "Y. W. Teh", title= "A {B}ayesian Interpretation of Interpolated {K}neser-{N}ey", number= "TRA2/06", institution= "School of Computing, National University of Singapore", year= "2006" } @inproceedings{WelMinTeh2005, author= "M. Welling and T. Minka and Y. W. Teh", title= "Structured Region Graphs: Morphing {EP} into {GBP}", booktitle= "Proceedings of the International Conference on Uncertainty in Artificial Intelligence", volume= "21", year= "2005" } @inproceedings{TehSeeJor2005, author= "Y. W. Teh and M. Seeger and M. I. Jordan", title= "Semiparametric Latent Factor Models", booktitle= "Proceedings of the International Workshop on Artificial Intelligence and Statistics", volume= "10", year= "2005" } @techreport{SeeTehJor2005, author= "M. Seeger and Y. W. Teh and M. I. Jordan", title= "Semiparametric Latent Factor Models", institution= "Division of Computer Science, University of California at Berkeley", year= "2005" } @inproceedings{TehJorBea2005, author= "Y. W. Teh and M. I. Jordan and M. J. Beal and D. M. Blei", title= "Sharing Clusters among Related Groups: Hierarchical {D}irichlet Processes", booktitle= "Advances in Neural Information Processing Systems", volume= "17", year= "2005" } @inproceedings{EdwTehFor2005, author= "J. Edwards and Y. W. Teh and D. A. Forsyth and R. Bock and M. Maire and G. Vesom", title= "Making Latin Manuscripts Searchable using {gHMM}'s", booktitle= "Advances in Neural Information Processing Systems", volume= "17", year= "2005" } @inproceedings{MilBerEdw2004, author= "T. Miller and A. C. Berg and J. Edwards and M. Maire and R. White and Y. W. Teh and E. Learned-Miller and D. A. Forsyth", title= "Faces and Names in the News", booktitle= "Proceedings of the Conference on Computer Vision and Pattern Recognition", year= "2004" } @inproceedings{WelRosTeh2004, author= "M. Welling and M. Rosen-Zvi and Y. W. Teh", title= "Approximate Inference by Markov Chains on Union Spaces", booktitle= "Proceedings of the International Conference on Machine Learning", volume= "21", year= "2004" } @techreport{TehJorBea2004, author= "Y. W. Teh and M. I. Jordan and M. J. Beal and D. M. Blei", title= "Hierarchical {D}irichlet Processes", number= "653", institution= "Department of Statistics, University of California at Berkeley", year= "2004" } @inproceedings{WelTeh2004b, author= "M. Welling and Y. W. Teh", title= "Linear Response Algorithms for Approximate Inference", booktitle= "Advances in Neural Information Processing Systems", volume= "16", year= "2004" } @article{WelTeh2004a, author= "M. Welling and Y. W. Teh", title= "Linear Response Algorithms for Approximate Inference in Graphical Models", journal= "Neural Computation", volume= "16", pages= "197-221", year= "2004" } @article{TehWelOsi2003, author= "Y. W. Teh and M. Welling and S. Osindero and G. E. Hinton", title= "Energy-Based Models for Sparse Overcomplete Representations", journal= "Journal of Machine Learning Research", volume= "4", month= "Dec", pages= "1235-1260", year= "2003" } @phdthesis{Teh2003, author= "Y. W. Teh", title= "Bethe Free Energy and Contrastive Divergence Approximations for Undirected Graphical Models", school= "Department of Computer Science, University of Toronto", year= "2003" } @inproceedings{TehWel2003, author= "Y. W. Teh and M. Welling", title= "On Improving the Efficiency of the Iterative Proportional Fitting Procedure", booktitle= "Proceedings of the International Workshop on Artificial Intelligence and Statistics", volume= "9", year= "2003" } @article{WelTeh2003, author= "M. Welling and Y. W. Teh", title= "Approximate Inference in {B}oltzmann Machines", journal= "Artificial Intelligence", volume= "143", number= "1", pages= "19-50", year= "2003" } @inproceedings{TehRow2003, author= "Y. W. Teh and S. Roweis", title= "Automatic Alignment of Local Representations", booktitle= "Advances in Neural Information Processing Systems", volume= "15", year= "2003" } @inproceedings{KakTehRow2002, author= "S. Kakade and Y. W. Teh and S. Roweis", title= "An Alternate Objective Function for {M}arkovian Fields", booktitle= "Proceedings of the International Conference on Machine Learning", volume= "19", year= "2002" } @inproceedings{HinWelTeh2001, author= "G. E. Hinton and M. Welling and Y. W. Teh and S. Osindero", title= "A New View of {ICA}", booktitle= "Proceedings of the International Conference on Independent Component Analysis and Blind Signal Separation", volume= "3", year= "2001" } @inproceedings{HinTeh2001, author= "G. E. Hinton and Y. W. Teh", title= "Discovering Multiple Constraints that are Frequently Approximately Satisfied", booktitle= "Proceedings of the International Conference on Uncertainty in Artificial Intelligence", volume= "17", year= "2001" } @inproceedings{TehWel2002, author= "Y. W. Teh and M. Welling", title= "The Unified Propagation and Scaling Algorithm", booktitle= "Advances in Neural Information Processing Systems", volume= "14", year= "2002" } @inproceedings{WelTeh2001, author= "M. Welling and Y. W. Teh", title= "Belief Optimization for Binary Networks: a Stable Alternative to Loopy Belief Propagation", booktitle= "Proceedings of the International Conference on Uncertainty in Artificial Intelligence", volume= "17", year= "2001" } @techreport{TehWel2001, author= "Y. W. Teh and M. Welling", title= "Passing and Bouncing Messages for Generalized Inference", number= "GCNU TR 2001-01", institution= "Gatsby Computational Neuroscience Unit, University College London", year= "2001" } @inproceedings{TehHin2001, author= "Y. W. Teh and G. E. Hinton", title= "Rate-Coded Restricted {B}oltzmann Machines for Face Recognition", booktitle= "Advances in Neural Information Processing Systems", volume= "13", year= "2001" } @mastersthesis{Teh2000, author= "Y. W. Teh", title= "Learning to Parse Images", school= "Department of Computer Science, University of Toronto", year= "2000" } @inproceedings{HinGhaTeh2000, author= "G. E. Hinton and Z. Ghahramani and Y. W. Teh", title= "Learning to Parse Images", booktitle= "Advances in Neural Information Processing Systems", volume= "12", year= "2000" } @inproceedings{BacTeh1998, author= "F. Bacchus and Y. W. Teh", title= "Making Forward Chaining Relevant", booktitle= "Proceedings of the International Conference on Artificial Intelligence Planning Systems", year= "1998" }