Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
Verified email at stats.ox.ac.uk - Homepage
TitleCited byYear
A fast learning algorithm for deep belief nets
GE Hinton, S Osindero, YW Teh
Neural computation 18 (7), 1527-1554, 2006
110322006
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
YW Teh, MI Jordan, MJ Beal, DM Blei
NIPS, 2005
38262005
Hierarchical Dirichlet Processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Journal of the American Statistical Association 101, 1566-1581, 2006
3824*2006
Bayesian Learning via Stochastic Gradient Langevin Dynamics
M Welling, YW Teh
ICML, 2011
7202011
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2009
5752009
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
5642007
A hierarchical Bayesian language model based on Pitman-Yor processes
YW Teh
Proceedings of the 21st International Conference on Computational …, 2006
5302006
The concrete distribution: A continuous relaxation of discrete random variables
CJ Maddison, A Mnih, YW Teh
NIPS, 2016
4932016
Dirichlet process
YW Teh
Encyclopedia of machine learning, 280-287, 2010
4512010
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
4382004
A fast and simple algorithm for training neural probabilistic language models
A Mnih, YW Teh
arXiv preprint arXiv:1206.6426, 2012
3902012
Hierarchical Bayesian nonparametric models with applications
YW Teh, MI Jordan
Bayesian nonparametrics 1, 158-207, 2010
3132010
Automatic alignment of local representations
YW Teh, ST Roweis
Advances in neural information processing systems, 865-872, 2003
2572003
Stick-breaking construction for the Indian buffet process
YW Teh, D Grür, Z Ghahramani
Artificial Intelligence and Statistics, 556-563, 2007
2552007
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
2532008
Semiparametric latent factor models
M Seeger, YW Teh, M Jordan
2012005
Variational Bayesian approach to movie rating prediction
YJ Lim, YW Teh
Proceedings of KDD cup and workshop 7, 15-21, 2007
1982007
Collapsed Variational Dirichlet Process Mixture Models.
K Kurihara, M Welling, YW Teh
IJCAI 7, 2796-2801, 2007
1892007
Collapsed variational inference for HDP
YW Teh, K Kurihara, M Welling
Advances in neural information processing systems, 1481-1488, 2008
1772008
Bayesian nonparametric models
P Orbanz, YW Teh
Encyclopedia of Machine Learning, 81-89, 2010
1762010
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Articles 1–20