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
135112006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
YW Teh, MI Jordan, MJ Beal, DM Blei
NIPS, 2005
42422005
Hierarchical Dirichlet Processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Journal of the American Statistical Association 101, 1566-1581, 2006
4239*2006
Bayesian Learning via Stochastic Gradient Langevin Dynamics
M Welling, YW Teh
ICML, 2011
10272011
The concrete distribution: A continuous relaxation of discrete random variables
CJ Maddison, A Mnih, YW Teh
ICLR, 2017
9012017
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2009
6642009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
YW Teh, D Newman, M Welling
Advances in neural information processing systems, 1353-1360, 2007
6572007
A hierarchical Bayesian language model based on Pitman-Yor processes
YW Teh
Proceedings of the 21st International Conference on Computational …, 2006
5902006
Dirichlet Process.
YW Teh
Encyclopedia of machine learning, 280-287, 2010
5182010
A fast and simple algorithm for training neural probabilistic language models
A Mnih, YW Teh
arXiv preprint arXiv:1206.6426, 2012
4842012
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
4742004
Hierarchical Bayesian nonparametric models with applications
YW Teh, MI Jordan
Bayesian nonparametrics 1, 158-207, 2010
3482010
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
2902008
Stick-breaking construction for the Indian buffet process
YW Teh, D Grür, Z Ghahramani
Artificial Intelligence and Statistics, 556-563, 2007
2812007
Automatic alignment of local representations
YW Teh, ST Roweis
Advances in neural information processing systems, 865-872, 2003
2642003
Semiparametric latent factor models
M Seeger, YW Teh, M Jordan
2282005
Collapsed Variational Dirichlet Process Mixture Models.
K Kurihara, M Welling, YW Teh
IJCAI 7, 2796-2801, 2007
2132007
Bayesian Nonparametric Models.
P Orbanz, YW Teh
Encyclopedia of machine learning, 2010
2092010
Variational Bayesian approach to movie rating prediction
YJ Lim, YW Teh
Proceedings of KDD cup and workshop 7, 15-21, 2007
2062007
Distral: Robust multitask reinforcement learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
NIPS2017, 2017
2002017
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Articles 1–20