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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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Teh YW. (2016) Bayesian nonparametric modeling and the ubiquitous ewens sampling formula Statistical Science. 31: 34-36
Teh YW, Thiery AH, Vollmer SJ. (2016) Consistency and fluctuations for stochastic gradient Langevin dynamics Journal of Machine Learning Research. 17
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
Favaro S, Nipoti B, Teh YW. (2015) Rediscovery of good-turing estimators via Bayesian nonparametrics. Biometrics
Favaro S, Nipoti B, Teh YW. (2015) Random variate generation for Laguerre-type exponentially tilted α-stable distributions Electronic Journal of Statistics. 9: 1230-1242
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
De Iorio M, Favaro S, Teh YW. (2015) Bayesian inference on population structure: From parametric to nonparametric modeling Nonparametric Bayesian Inference in Biostatistics. 135-152
Moreno PG, Artes-Rodríguez A, Teh YW, et al. (2015) Bayesian nonparametric crowdsourcing Journal of Machine Learning Research. 16: 1607-1627
Lomelí M, Favaro S, Teh YW. (2015) A hybrid sampler for Poisson-Kingman mixture models Advances in Neural Information Processing Systems. 2015: 2161-2169
Lienart T, Teh YW, Doucet A. (2015) Expectation particle belief propagation Advances in Neural Information Processing Systems. 2015: 3609-3617
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