Yee Whye Teh

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Citations	35478	22597
h-index	61	49
i10-index	151	135

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Co-authors

Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Simon OsinderoDeepMindVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Nicolas HeessDeepMindVerified email at google.com
Balaji LakshminarayananStaff Research Scientist at Google BrainVerified email at google.com
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoVerified email at unito.it
Andriy MnihResearch Scientist at DeepMindVerified email at cs.toronto.edu
Daniel M. RoyUniversity of Toronto, Dept of Statistical Sciences; Computer ScienceVerified email at utstat.toronto.edu
Dilan GorurDeepMindVerified email at google.com
Matthew J. BealChicago Trading CompanyVerified email at chicagotrading.com
Jonathan SchwarzDeepMind, Gatsby Computational Neuroscience Unit - UCLVerified email at google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Adam R. KosiorekResearch Scientist, DeepMindVerified email at google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk

Yee Whye Teh

Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind

Verified email at stats.ox.ac.uk - Homepage

Machine Learning Artificial Intelligence Statistics Computer Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh Neural computation 18 (7), 1527-1554, 2006	14652	2006
Hierarchical Dirichlet Processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the American Statistical Association 101, 1566-1581, 2006	4435*	2006
Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011	1195	2011
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	1091	2017
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2009	691	2009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation YW Teh, D Newman, M Welling CALIFORNIA UNIV IRVINE SCHOOL OF INFORMATION AND COMPUTER SCIENCE, 2007	687	2007
A hierarchical Bayesian language model based on Pitman-Yor processes YW Teh Proceedings of the 21st International Conference on Computational …, 2006	613	2006
Dirichlet Process. YW Teh Encyclopedia of machine learning, 280-287, 2010	542	2010
A fast and simple algorithm for training neural probabilistic language models A Mnih, YW Teh arXiv preprint arXiv:1206.6426, 2012	527	2012
Names and faces in the news TL Berg, AC Berg, J Edwards, M Maire, R White, YW Teh, ... Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	505	2004
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005	460	2005
Hierarchical Bayesian nonparametric models with applications YW Teh, MI Jordan Bayesian nonparametrics 1, 158-207, 2010	368	2010
Beam sampling for the infinite hidden Markov model J Van Gael, Y Saatci, YW Teh, Z Ghahramani Proceedings of the 25th international conference on Machine learning, 1088-1095, 2008	308	2008
Stick-breaking construction for the Indian buffet process YW Teh, D Grür, Z Ghahramani Artificial Intelligence and Statistics, 556-563, 2007	291	2007
Automatic alignment of local representations YW Teh, ST Roweis Advances in neural information processing systems, 865-872, 2003	274	2003
Semiparametric latent factor models M Seeger, YW Teh, M Jordan	253	2005
Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017	235	2017
Variational Bayesian approach to movie rating prediction YJ Lim, YW Teh Proceedings of KDD cup and workshop 7, 15-21, 2007	224	2007
Bayesian Nonparametric Models. P Orbanz, YW Teh Encyclopedia of machine learning 1, 2010	222	2010
Collapsed Variational Dirichlet Process Mixture Models. K Kurihara, M Welling, YW Teh IJCAI 7, 2796-2801, 2007	222	2007

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