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Yee Whye Teh Department of Statistics University College University of Oxford |
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Current Highlights
My student Vinayak Rao's thesis has won the 2014 ISBA Savage Award for best doctoral dissertation in Bayesian econometrics and statistics (theory and methods). Check out his thesis or our JMLR paper together on fast MCMC sampling for Markov jump processes and extensions.
My paper with Geoff Hinton and Simon Osindero on Deep Belief Networks is now the most downloaded paper at Neural Computation.
Consistency and Fluctuations for Stochastic Gradient Langevin Dynamics.
Y. W. Teh, A. Thiery and S. Vollmer.
[bibtex] [arxiv]Rediscovery of Good-Turing estimators via Bayesian nonparametrics.
S. Favaro, B. Nipoti and Y. W. Teh.
[bibtex] [arxiv]Asynchronous Anytime Sequential Monte Carlo.
B. Paige, F. Wood, A. Doucet and Y. W. Teh. NIPS 2014.
[bibtex] [arxiv] [NIPS 2014]Mondrian Forests: Efficient Online Random Forests.
B. Lakshminarayanan, D. M. Roy and Y. W. Teh. NIPS 2014.
[bibtex] [arxiv] [code] [NIPS 2014]Fast MCMC Sampling for Markov Jump Processes and Extensions.
V. Rao and Y. W. Teh. JMLR 14:3207-3232, 2013.
[bibtex] [pdf]MCMC for Normalized Random Measure Mixture Models.
S. Favaro and Y. W. Teh. Statistical Science 28(3):335-359, 2013.
[bibtex] [pdf] [slides]
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