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Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
Verified email at stats.ox.ac.uk - Homepage
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
185912006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
YW Teh, MI Jordan, MJ Beal, DM Blei
NIPS, 2005
49642005
Bayesian Learning via Stochastic Gradient Langevin Dynamics
M Welling, YW Teh
ICML, 2011
20092011
The concrete distribution: A continuous relaxation of discrete random variables
CJ Maddison, A Mnih, YW Teh
ICLR, 2017
19472017
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2009
7742009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
Y Teh, D Newman, M Welling
Advances in neural information processing systems 19, 2006
7482006
Inferring the effectiveness of government interventions against COVID-19
JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ...
Science 371 (6531), eabd9338, 2021
6832021
A hierarchical Bayesian language model based on Pitman-Yor processes
YW Teh
Proceedings of the 21st International Conference on Computational …, 2006
6652006
A fast and simple algorithm for training neural probabilistic language models
A Mnih, YW Teh
arXiv preprint arXiv:1206.6426, 2012
6432012
Dirichlet Process.
YW Teh
Encyclopedia of machine learning 1063, 280-287, 2010
6362010
Set transformer
J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh
International Conference on Machine Learning 2019. arXiv:1810.00825, 2018
628*2018
Progress & Compress: A scalable framework for continual learning
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ...
ICML2018 arXiv:1805.06370, 2018
5362018
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
5322004
Do Deep Generative Models Know What They Don't Know?
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
ICLR2019, 2018
5022018
Distral: Robust multitask reinforcement learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
NIPS2017, 2017
4562017
Conditional Neural Processes
M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ...
ICML2018 arXiv:1807.01613, 2018
4542018
Hierarchical Bayesian nonparametric models with applications
YW Teh, MI Jordan
Bayesian nonparametrics 1, 158-207, 2010
4172010
Augmented neural odes
E Dupont, A Doucet, YW Teh
NeurIPS 2019; arXiv:1904.01681, 2019
3752019
Neural processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
ICML2018 Bayesian Deep Learning Workshop arXiv:1807.01622, 2018
3602018
Stick-breaking construction for the Indian buffet process
YW Teh, D Grür, Z Ghahramani
Artificial intelligence and statistics, 556-563, 2007
3322007
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Articles 1–20