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Yee W. Teh, Ph.D. - Publications

Affiliations: 
2003 University of Toronto, Toronto, ON, Canada 
Area:
machine learning
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Elliott LT, De Iorio M, Favaro S, Adhikari K, Teh YW. Modeling Population Structure Under Hierarchical Dirichlet Processes Bayesian Analysis. 14: 313-339. DOI: 10.1214/17-Ba1093  0.345
2018 Battiston M, Favaro S, Roy DM, Teh YW. A characterization of product-form exchangeable feature probability functions The Annals of Applied Probability. 28: 1423-1448. DOI: 10.1214/17-Aap1333  0.331
2018 Battiston M, Favaro S, Teh YW. Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach Journal of the American Statistical Association. 113: 455-466. DOI: 10.1080/01621459.2016.1261711  0.304
2017 Lomelí M, Favaro S, Teh YW. A Marginal Sampler for σ-Stable Poisson–Kingman Mixture Models Journal of Computational and Graphical Statistics. 26: 44-53. DOI: 10.1080/10618600.2015.1110526  0.345
2016 Favaro S, Lijoi A, Nava C, Nipoti B, Prünster I, Teh YW. On the Stick-Breaking Representation for Homogeneous NRMIs Bayesian Analysis. 11: 697-724. DOI: 10.1214/15-Ba964  0.418
2015 Adams RP, Fox EB, Sudderth EB, Teh YW. Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics. Ieee Trans Pattern Anal Mach Intell. 37: 209-11. PMID 26598765 DOI: 10.1109/Tpami.2014.2380478  0.583
2015 Adams RP, Fox EB, Sudderth EB, Teh YW. Guest editors' introduction to the special issue on bayesian nonparametrics Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 209-211. DOI: 10.1109/TPAMI.2014.2380478  0.438
2014 Caron F, Teh YW, Murphy TB. Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes Annals of Applied Statistics. 8: 1145-1181. DOI: 10.1214/14-Aoas717  0.302
2014 Favaro S, Lomeli M, Teh YW. On a class of (Formula presented.) -stable Poisson–Kingman models and an effective marginalized sampler Statistics and Computing. 25: 67-78. DOI: 10.1007/S11222-014-9499-4  0.386
2013 Favaro S, Teh YW. MCMC for normalized random measure mixture models Statistical Science. 28: 335-359. DOI: 10.1214/13-Sts422  0.344
2011 Görür D, Teh YW. Concave-convex adaptive rejection sampling Journal of Computational and Graphical Statistics. 20: 670-691. DOI: 10.1198/Jcgs.2011.09058  0.316
2011 Wood F, Gasthaus J, Archambeau C, James L, Teh YW. The sequence memoizer Communications of the Acm. 54: 91-98. DOI: 10.1145/1897816.1897842  0.305
2009 Asuncion A, Welling M, Smyth P, Teh YW. On smoothing and inference for topic models Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 27-34.  0.329
2009 Heller KA, Teh YW, Görür D. Infinite hierarchical hidden Markov models Journal of Machine Learning Research. 5: 224-231.  0.347
2009 Van Gael J, Teh YW, Ghahramani Z. The infinite factorial hidden Markov model Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1697-1704.  0.513
2008 Van Gael J, Saatci Y, Teh YW, Ghahramani Z. Beam sampling for the infinite hidden Markov model Proceedings of the 25th International Conference On Machine Learning. 1088-1095.  0.454
2007 Teh YW, Görür D, Ghahramani Z. Stick-breaking construction for the Indian buffet process Journal of Machine Learning Research. 2: 556-563.  0.422
2006 Hinton G, Osindero S, Welling M, Teh YW. Unsupervised discovery of nonlinear structure using contrastive backpropagation. Cognitive Science. 30: 725-31. PMID 21702832 DOI: 10.1207/S15516709Cog0000_76  0.663
2006 Hinton GE, Osindero S, Teh YW. A fast learning algorithm for deep belief nets. Neural Computation. 18: 1527-54. PMID 16764513 DOI: 10.1162/Neco.2006.18.7.1527  0.662
2006 Teh YW, Jordan MI, Beal MJ, Blei DM. Hierarchical Dirichlet processes Journal of the American Statistical Association. 101: 1566-1581. DOI: 10.1198/016214506000000302  0.307
2004 Welling M, Teh YW. Linear response algorithms for approximate inference in graphical models. Neural Computation. 16: 197-221. PMID 15006029 DOI: 10.1162/08997660460734056  0.318
2004 Teh YW, Welling M, Osindero S, Hinton GE. Energy-based models for sparse overcomplete representations Journal of Machine Learning Research. 4: 1235-1260. DOI: 10.1162/Jmlr.2003.4.7-8.1235  0.673
2003 Welling M, Teh YW. Approximate inference in Boltzmann machines Artificial Intelligence. 143: 19-50. DOI: 10.1016/S0004-3702(02)00361-2  0.33
2003 Teh YW, Roweis S. Automatic alignment of local representations Advances in Neural Information Processing Systems.  0.592
2001 Teh YW, Hinton GE. Rate-coded restricted boltzmann machines for face recognition Advances in Neural Information Processing Systems.  0.456
2000 Hinton GE, Ghahramani Z, Teh YW. Learning to parse images Advances in Neural Information Processing Systems. 463-469.  0.618
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