Yee Whye Teh

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Citations	52195	32038
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Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Simon OsinderoSenior Staff Scientist @ DeepMindVerified email at google.com
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Tom RainforthFlorence Nightingale Bicentennial Fellow, University of OxfordVerified email at stats.ox.ac.uk
Nicolas HeessDeepMindVerified email at google.com
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Balaji LakshminarayananSenior Staff Research Scientist at Google BrainVerified email at google.com
Jonathan Richard SchwarzDeepMind, University College LondonVerified email at google.com
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Adam R. KosiorekResearch Scientist, DeepMindVerified email at google.com
Andriy MnihResearch Scientist at DeepMindVerified email at cs.toronto.edu
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Hyunjik KimResearch Scientist, DeepMindVerified email at google.com
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoVerified email at unito.it
Dilan GorurDeepMindVerified email at google.com
Daniel M. RoyUniversity of Toronto, Dept of Statistical Sciences; Computer ScienceVerified email at utoronto.ca
Wojciech Marian Czarnecki.Verified email at google.com

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	19444	2006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005	5102	2005
Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011	2253	2011
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	2140	2017
Set transformer J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh International Conference on Machine Learning 2019. arXiv:1810.00825, 2018	811*	2018
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2009	784	2009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation Y Teh, D Newman, M Welling Advances in neural information processing systems 19, 2006	777	2006
Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), eabd9338, 2021	776	2021
A fast and simple algorithm for training neural probabilistic language models A Mnih, YW Teh arXiv preprint arXiv:1206.6426, 2012	745	2012
A hierarchical Bayesian language model based on Pitman-Yor processes YW Teh Proceedings of the 21st International Conference on Computational …, 2006	681	2006
Dirichlet Process. YW Teh Encyclopedia of machine learning 1063, 280-287, 2010	670	2010
Progress & Compress: A scalable framework for continual learning J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ... ICML2018 arXiv:1805.06370, 2018	629	2018
Do Deep Generative Models Know What They Don't Know? E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan ICLR2019, 2018	571	2018
Conditional Neural Processes M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ... ICML2018 arXiv:1807.01613, 2018	535	2018
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	535	2004
Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017	500	2017
Augmented neural odes E Dupont, A Doucet, YW Teh NeurIPS 2019; arXiv:1904.01681, 2019	440	2019
Neural processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... ICML2018 Bayesian Deep Learning Workshop arXiv:1807.01622, 2018	429	2018
Hierarchical Bayesian nonparametric models with applications YW Teh, MI Jordan Bayesian nonparametrics 1, 158-207, 2010	426	2010
Stick-breaking construction for the Indian buffet process YW Teh, D Grür, Z Ghahramani Artificial intelligence and statistics, 556-563, 2007	343	2007

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