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
156242006
Hierarchical Dirichlet Processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Journal of the American Statistical Association 101, 1566-1581, 2006
4576*2006
Bayesian Learning via Stochastic Gradient Langevin Dynamics
M Welling, YW Teh
ICML, 2011
13602011
The concrete distribution: A continuous relaxation of discrete random variables
CJ Maddison, A Mnih, YW Teh
ICLR, 2017
12672017
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
7152007
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2009
7112009
A hierarchical Bayesian language model based on Pitman-Yor processes
YW Teh
Proceedings of the 21st International Conference on Computational …, 2006
6292006
A fast and simple algorithm for training neural probabilistic language models
A Mnih, YW Teh
arXiv preprint arXiv:1206.6426, 2012
5602012
Dirichlet Process.
YW Teh
Encyclopedia of machine learning, 280-287, 2010
5602010
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
5142004
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
YW Teh, MI Jordan, MJ Beal, DM Blei
NIPS, 2005
4982005
Hierarchical Bayesian nonparametric models with applications
YW Teh, MI Jordan
Bayesian nonparametrics 1, 158-207, 2010
3832010
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
3152008
Stick-breaking construction for the Indian buffet process
YW Teh, D Grür, Z Ghahramani
Artificial Intelligence and Statistics, 556-563, 2007
3042007
Progress & Compress: A scalable framework for continual learning
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ...
ICML2018 arXiv:1805.06370, 2018
2792018
Distral: Robust multitask reinforcement learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
NIPS2017, 2017
2792017
Automatic alignment of local representations
YW Teh, ST Roweis
Advances in neural information processing systems, 865-872, 2003
2772003
Semiparametric latent factor models
M Seeger, YW Teh, M Jordan
2622005
Do Deep Generative Models Know What They Don't Know?
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
ICLR2019, 2018
2542018
Bayesian Nonparametric Models.
P Orbanz, YW Teh
Encyclopedia of machine learning 1, 2010
2342010
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Articles 1–20