-
3
-
-
76849117578
-
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
-
D. M. Blei, T. L. Griffiths, and M. I. Jordan. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. Journal of ACM, 2010.
-
(2010)
Journal of ACM
-
-
Blei, D.M.1
Griffiths, T.L.2
Jordan, M.I.3
-
9
-
-
0031509083
-
Demand for medical care by the elderly: A finite mixture approach
-
P. Deb and P. Trivedi. Demand for medical care by the elderly: A finite mixture approach. Journal of Applied Econometrics, 1997.
-
(1997)
Journal of Applied Econometrics
-
-
Deb, P.1
Trivedi, P.2
-
13
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
W. R. Gilks and P. Wild. Adaptive rejection sampling for Gibbs sampling. Applied Statistics, 1992.
-
(1992)
Applied Statistics
-
-
Gilks, W.R.1
Wild, P.2
-
14
-
-
84864043341
-
Infinite latent feature models and the Indian buffet process
-
T. L. Griffiths and Z. Ghahramani. Infinite latent feature models and the Indian buffet process. In NIPS, 2005.
-
(2005)
NIPS
-
-
Griffiths, T.L.1
Ghahramani, Z.2
-
16
-
-
0001241617
-
Nonparametric Bayes estimators based on beta processes in models for life history data
-
N. L. Hjort. Nonparametric Bayes estimators based on beta processes in models for life history data. Annals of Statistics, 1990.
-
(1990)
Annals of Statistics
-
-
Hjort, N.L.1
-
17
-
-
85162005069
-
Online learning for latent Dirichlet allocation
-
M. Hoffman, D. M. Blei, and F. Bach. Online learning for latent Dirichlet allocation. In NIPS, 2010.
-
(2010)
NIPS
-
-
Hoffman, M.1
Blei, D.M.2
Bach, F.3
-
18
-
-
84877729856
-
Hierarchical models, nested models and completely random measures
-
M.-H. Chen D. Dey, P. Mueller D. Sun, and K. Ye, editors: in Honor of James O. Berger. New York Springer
-
M. I. Jordan. Hierarchical models, nested models and completely random measures. In M.-H. Chen, D. Dey, P. Mueller, D. Sun, and K. Ye, editors, Frontiers of Statistical Decision Making and Bayesian Analysis: in Honor of James O. Berger. New York: Springer, 2010.
-
(2010)
Frontiers of Statistical Decision Making and Bayesian Analysis
-
-
Jordan, M.I.1
-
19
-
-
0033471036
-
Nonparametric Bayesian estimators for counting processes
-
Y. Kim. Nonparametric Bayesian estimators for counting processes. Annals of Statistics, 1999.
-
(1999)
Annals of Statistics
-
-
Kim, Y.1
-
23
-
-
27844605876
-
Probabilistic non-linear principal component analysis with Gaussian process latent variable models
-
N. Lawrence. Probabilistic non-linear principal component analysis with Gaussian process latent variable models. Journal of Machine Learning Research, 2005.
-
(2005)
Journal of Machine Learning Research
-
-
Lawrence, N.1
-
24
-
-
0001093042
-
Algorithms for nonnegative matrix factorization
-
D. D. Lee and H. S. Seung. Algorithms for nonnegative matrix factorization. In NIPS, 2000.
-
(2000)
NIPS
-
-
Lee, D.D.1
Seung, H.S.2
-
25
-
-
80053450173
-
On the integration of topic modeling and dictionary learning
-
L. Li, M. Zhou, G. Sapiro, and L. Carin. On the integration of topic modeling and dictionary learning. In ICML, 2011.
-
(2011)
ICML
-
-
Li, L.1
Zhou, M.2
Sapiro, G.3
Carin, L.4
-
28
-
-
47049124292
-
-
National Audubon Society, Accessed 10/4/2011
-
National Audubon Society. The Christmas Bird Count Historical Results. URL http://www.audubon.org/bird/cbc. Accessed 10/4/2011.
-
The Christmas Bird Count Historical Results
-
-
-
29
-
-
77956540038
-
A stick-breaking construction of the beta process
-
J. Paisley, A. Zaas, C. W. Woods, G. S. Ginsburg, and L. Carin. A stick-breaking construction of the beta process. In ICML, 2010.
-
(2010)
ICML
-
-
Paisley, J.1
Zaas, A.2
Woods, C.W.3
Ginsburg, G.S.4
Carin, L.5
-
31
-
-
77956543492
-
Stickbreaking construction for the Indian buffet process
-
Y. W. Teh, D. Görür, and Z. Ghahramani. Stickbreaking construction for the Indian buffet process. In AISTATS, 2007.
-
(2007)
AISTATS
-
-
Teh, Y.W.1
Görür, D.2
Ghahramani, Z.3
-
33
-
-
77956545291
-
Hierarchical beta processes and the Indian buffet process
-
R. J. Thibaux and M. I. Jordan. Hierarchical beta processes and the Indian buffet process. In AISTATS, 2007.
-
(2007)
AISTATS
-
-
Thibaux, R.J.1
Jordan, M.I.2
-
35
-
-
85161989394
-
The infinite gamma-Poisson feature model
-
M. K. Titsias. The infinite gamma-Poisson feature model. In NIPS, 2008.
-
(2008)
NIPS
-
-
Titsias, M.K.1
-
37
-
-
80052414926
-
Online variational inference for the hierarchical Dirichlet process
-
C. Wang, J. Paisley, and D. M. Blei. Online variational inference for the hierarchical Dirichlet process. In AISTATS, 2011.
-
(2011)
AISTATS
-
-
Wang, C.1
Paisley, J.2
Blei, D.M.3
-
38
-
-
0242295767
-
Bayesian factor regression models in the large p, small n" paradigm
-
M. West. Bayesian factor regression models in the "large p, small n" paradigm. In Bayesian Statistics, 2003.
-
(2003)
Bayesian Statistics
-
-
West, M.1
-
39
-
-
77956537774
-
The IBP compound Dirichlet process and its application to focused topic modeling
-
S. Williamson, C. Wang, K. A. Heller, and D. M. Blei. The IBP compound Dirichlet process and its application to focused topic modeling. In ICML, 2010.
-
(2010)
ICML
-
-
Williamson, S.1
Wang, C.2
Heller, K.A.3
Blei, D.M.4
-
40
-
-
80052832466
-
Stochastic expansions using continuous dictionaries: Lévy Adaptive Regression Kernels
-
R. L. Wolpert, M. A. Clyde, and C. Tu. Stochastic expansions using continuous dictionaries: Lévy Adaptive Regression Kernels. Annals of Statistics, 2011.
-
(2011)
Annals of Statistics
-
-
Wolpert, R.L.1
Clyde, M.A.2
Tu, C.3
-
41
-
-
84255204432
-
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
-
M. Zhou, H. Chen, J. Paisley, L. Ren, L. Li, Z. Xing, D. Dunson, G. Sapiro, and L. Carin. Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images. IEEE Trans. Image Processing, 2012.
-
(2012)
IEEE Trans. Image Processing
-
-
Zhou, M.1
Chen, H.2
Paisley, J.3
Ren, L.4
Li, L.5
Xing, Z.6
Dunson, D.7
Sapiro, G.8
Carin, L.9
-
42
-
-
84863386014
-
Non-parametric Bayesian dictionary learning for sparse image representations
-
M. Zhou, H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin. Non-parametric Bayesian dictionary learning for sparse image representations. In NIPS, 2009.
-
(2009)
NIPS
-
-
Zhou, M.1
Chen, H.2
Paisley, J.3
Ren, L.4
Sapiro, G.5
Carin, L.6
-
43
-
-
80053449170
-
Dependent hierarchical beta process for image interpolation and denoising
-
M. Zhou, H. Yang, G. Sapiro, D. Dunson, and L. Carin. Dependent hierarchical beta process for image interpolation and denoising. In AISTATS, 2011.
-
(2011)
AISTATS
-
-
Zhou, M.1
Yang, H.2
Sapiro, G.3
Dunson, D.4
Carin, L.5
|