Yee Whye Teh

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Max WellingProfessor Machine Learning, University of AmsterdamAdresse e-mail validée de uva.nl
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.edu
Simon OsinderoSenior Staff Scientist @ DeepMindAdresse e-mail validée de google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Razvan PascanuResearch Scientist at Google DeepMindAdresse e-mail validée de google.com
Nicolas HeessDeepMindAdresse e-mail validée de google.com
Frank WoodUniversity of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Balaji LakshminarayananStaff Research Scientist at Google BrainAdresse e-mail validée de google.com
Chris J. MaddisonUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Tom RainforthUniversity of OxfordAdresse e-mail validée de stats.ox.ac.uk
Jonathan Richard SchwarzDeepMind, Gatsby Computational Neuroscience Unit - UCLAdresse e-mail validée de google.com
Andriy MnihResearch Scientist at DeepMindAdresse e-mail validée de cs.toronto.edu
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoAdresse e-mail validée de unito.it
Daniel M. RoyUniversity of Toronto, Dept of Statistical Sciences; Computer ScienceAdresse e-mail validée de utoronto.ca
Matthew J. BealChicago Trading CompanyAdresse e-mail validée de chicagotrading.com
Dilan GorurDeepMindAdresse e-mail validée de google.com
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindAdresse e-mail validée de stats.ox.ac.uk
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Adam R. KosiorekResearch Scientist, DeepMindAdresse e-mail validée de google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk

Yee Whye Teh

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

Adresse e-mail validée de stats.ox.ac.uk - Page d'accueil

Machine Learning Artificial Intelligence Statistics Computer Science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh Neural computation 18 (7), 1527-1554, 2006	16480	2006
Hierarchical Dirichlet Processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the American Statistical Association 101, 1566-1581, 2006	4567	2006
Bayesian Learning via Stochastic Gradient Langevin Dynamics M Welling, YW Teh ICML, 2011	1508	2011
The concrete distribution: A continuous relaxation of discrete random variables CJ Maddison, A Mnih, YW Teh ICLR, 2017	1391	2017
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2009	733	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	731	2007
A hierarchical Bayesian language model based on Pitman-Yor processes YW Teh Proceedings of the 21st International Conference on Computational …, 2006	648	2006
A fast and simple algorithm for training neural probabilistic language models A Mnih, YW Teh arXiv preprint arXiv:1206.6426, 2012	585	2012
Dirichlet Process. YW Teh Encyclopedia of machine learning, 280-287, 2010	573	2010
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	517	2004
Hierarchical Bayesian nonparametric models with applications YW Teh, MI Jordan Bayesian nonparametrics 1, 158-207, 2010	399	2010
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. YW Teh, MI Jordan, MJ Beal, DM Blei NIPS, 2005	353	2005
Progress & Compress: A scalable framework for continual learning J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ... ICML2018 arXiv:1805.06370, 2018	328	2018
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	321	2008
Distral: Robust multitask reinforcement learning YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ... NIPS2017, 2017	320	2017
Stick-breaking construction for the Indian buffet process YW Teh, D Grür, Z Ghahramani Artificial Intelligence and Statistics, 556-563, 2007	316	2007
Do Deep Generative Models Know What They Don't Know? E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan ICLR2019, 2018	302	2018
Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), 2021	289	2021
Automatic alignment of local representations YW Teh, ST Roweis Advances in neural information processing systems, 865-872, 2003	282	2003
Set transformer J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh International Conference on Machine Learning 2019. arXiv:1810.00825, 2018	280*	2018

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