-
1
-
-
33749249312
-
Hierarchical Dirichlet processes
-
Teh, Y., M. Jordan, M. Beal, et al. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476):1566-1581, 2007.
-
(2007)
Journal of the American Statistical Association
, vol.101
, Issue.476
, pp. 1566-1581
-
-
Teh, Y.1
Jordan, M.2
Beal, M.3
-
2
-
-
0141607824
-
Latent Dirichlet allocation
-
Blei, D., A. Ng, M. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.1
Ng, A.2
Jordan, M.3
-
7
-
-
85161994378
-
Online inference for latent Drichlet allocation
-
Hoffman, M., D. Blei, F. Bach. Online inference for latent Drichlet allocation. In NIPS. 2010.
-
(2010)
NIPS
-
-
Hoffman, M.1
Blei, D.2
Bach, F.3
-
8
-
-
0033225865
-
Introduction to variational methods for graphical models
-
Jordan, M., Z. Ghahramani, T. Jaakkola, et al. Introduction to variational methods for graphical models. Machine Learning, 37:183-233, 1999.
-
(1999)
Machine Learning
, vol.37
, pp. 183-233
-
-
Jordan, M.1
Ghahramani, Z.2
Jaakkola, T.3
-
10
-
-
0000396062
-
Natural gradient works efficiently in learning
-
Amari, S. Natural gradient works efficiently in learning. Neural computation, 10(2):251-276, 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.2
, pp. 251-276
-
-
Amari, S.1
-
11
-
-
0000147488
-
Online model selection based on the variational Bayes
-
Sato, M. Online model selection based on the variational Bayes. Neural Computation, 13(7):1649-1681, 2005.
-
(2005)
Neural Computation
, vol.13
, Issue.7
, pp. 1649-1681
-
-
Sato, M.1
-
15
-
-
0000720609
-
A constructive definition of Dirichlet priors
-
Sethuraman, J. A constructive definition of Dirichlet priors. Statistica Sinica, 4:639-650, 1994.
-
(1994)
Statistica Sinica
, vol.4
, pp. 639-650
-
-
Sethuraman, J.1
-
16
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
Ferguson, T. A Bayesian analysis of some nonparametric problems. The Annals of Statistics, 1:209-230, 1973.
-
(1973)
The Annals of Statistics
, vol.1
, pp. 209-230
-
-
Ferguson, T.1
-
17
-
-
0036025698
-
Poisson-Dirichlet and GEM invariant distributions for split-and-merge transformations of an interval partition
-
Pitman, J. Poisson-Dirichlet and GEM invariant distributions for split-and-merge transformations of an interval partition. Combinatorics, Probability, and Computing, 11:501-514, 2002.
-
(2002)
Combinatorics Probability and Computing
, vol.11
, pp. 501-514
-
-
Pitman, J.1
-
19
-
-
47949127602
-
Collapsed variational Dirichlet process mixture models
-
Kurihara, K., M. Welling, Y. Teh. Collapsed variational Dirichlet process mixture models. In IJCAI. 2007.
-
(2007)
IJCAI
-
-
Kurihara, K.1
Welling, M.2
Teh, Y.3
-
20
-
-
84864052254
-
Accelerated variational Dirichlet process mixtures
-
B. Schölkopf, J. Platt, T. Hoffman, eds. MIT Press, Cambridge, MA
-
Kurihara, K., M.Welling, N. Vlassis. Accelerated variational Dirichlet process mixtures. In B. Schölkopf, J. Platt, T. Hoffman, eds., Advances in Neural Information Processing Systems 19, pages 761-768. MIT Press, Cambridge, MA, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 761-768
-
-
Kurihara, K.1
Welling, M.2
Vlassis, N.3
-
21
-
-
84863338282
-
Variational inference for the nested Chinese restaurant process
-
Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, eds
-
Wang, C., D. Blei. Variational inference for the nested Chinese restaurant process. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, eds., Advances in Neural Information Processing Systems 22, pages 1990-1998. 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 1990-1998
-
-
Wang, C.1
Blei, D.2
-
23
-
-
33749242628
-
Dynamic topic models
-
ACM, New York, NY, USA
-
Blei, D., J. Lafferty. Dynamic topic models. In International Conference on Machine Learning, pages 113-120. ACM, New York, NY, USA, 2006.
-
(2006)
International Conference on Machine Learning
, pp. 113-120
-
-
Blei, D.1
Lafferty, J.2
-
25
-
-
84864043341
-
Infinite latent feature models and the Indian buffet process
-
Y. Weiss, B. Schölkopf, J. Platt, eds. MIT Press, Cambridge, MA
-
Griffiths, T., Z. Ghahramani. Infinite latent feature models and the Indian buffet process. In Y. Weiss, B. Schölkopf, J. Platt, eds., Advances in Neural Information Processing Systems 18, pages 475-482. MIT Press, Cambridge, MA, 2006.
-
(2006)
Advances in Neural Information Processing Systems
, vol.18
, pp. 475-482
-
-
Griffiths, T.1
Ghahramani, Z.2
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