Yee-Whye Teh

E80657

machine learning researcher person statistician

Yee-Whye Teh is a prominent statistician and machine learning researcher known for his influential work on Bayesian nonparametrics, probabilistic modeling, and deep learning.

Statements (43)

Predicate	Object
instanceOf	machine learning researcher → person → statistician →
affiliation	Oxford-Man Institute of Quantitative Finance →
countryOfCitizenship	Malaysia →
educatedAt	University of Cambridge NERFINISHED → Yale University →
employer	University of Oxford NERFINISHED →
ethnicGroup	Chinese Malaysian →
fieldOfWork	Bayesian nonparametrics → Bayesian statistics → deep learning → machine learning → probabilistic modeling → statistics →
hasAcademicAdvisor	Radford M. Neal →
hasAcademicRank	Professor of Statistical Machine Learning →
hasResearchArea	Bayesian deep learning → graphical models → probabilistic machine learning → stochastic processes in machine learning →
hasRole	academic researcher → doctoral supervisor →
hasWrittenWork	Collapsed variational inference for HDP → Hierarchical Dirichlet Processes → Stick-breaking construction for the Indian buffet process →
knownFor	Bayesian nonparametric methods → Dirichlet process models → contributions to deep generative models → hierarchical Dirichlet processes → probabilistic topic models →
languageSpoken	English →
memberOf	Department of Statistics, University of Oxford →
notableStudent	Diederik P. Kingma →
notableWork	applications of Bayesian nonparametrics in machine learning → development of hierarchical Dirichlet process topic models →
occupation	professor →
researchInterest	Markov chain Monte Carlo → deep generative models → nonparametric Bayesian methods → unsupervised learning → variational inference →
workLocation	Oxford →

Referenced by (3)

Subject (surface form when different)	Predicate
A fast learning algorithm for deep belief nets →	author
Simon Osindero →	coAuthorWith
Deep belief networks →	developedBy