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Yee W. Teh, Ph.D.

Affiliations: 
2003 University of Toronto, Toronto, ON, Canada 
Area:
machine learning
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"Yee Teh"
Mean distance: 15.15 (cluster 17)
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Parents

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Geoffrey E. Hinton grad student 2003 University of Toronto
 (Bethe free energy and contrastive divergence approximations for undirected graphical models.)

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Publications

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Elliott LT, De Iorio M, Favaro S, et al. (2019) Modeling Population Structure Under Hierarchical Dirichlet Processes Bayesian Analysis. 14: 313-339
Battiston M, Favaro S, Roy DM, et al. (2018) A characterization of product-form exchangeable feature probability functions The Annals of Applied Probability. 28: 1423-1448
Battiston M, Favaro S, Teh YW. (2018) Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach Journal of the American Statistical Association. 113: 455-466
Lomelí M, Favaro S, Teh YW. (2017) A Marginal Sampler for σ-Stable Poisson–Kingman Mixture Models Journal of Computational and Graphical Statistics. 26: 44-53
Favaro S, Lijoi A, Nava C, et al. (2016) On the Stick-Breaking Representation for Homogeneous NRMIs Bayesian Analysis. 11: 697-724
Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics. Ieee Trans Pattern Anal Mach Intell. 37: 209-11
Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest editors' introduction to the special issue on bayesian nonparametrics Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 209-211
Caron F, Teh YW, Murphy TB. (2014) Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes Annals of Applied Statistics. 8: 1145-1181
Favaro S, Lomeli M, Teh YW. (2014) On a class of (Formula presented.) -stable Poisson–Kingman models and an effective marginalized sampler Statistics and Computing. 25: 67-78
Favaro S, Teh YW. (2013) MCMC for normalized random measure mixture models Statistical Science. 28: 335-359
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