-
2
-
-
77954725706
-
On smoothing and inference for topic models
-
A. Asuncion, M. Welling, P. Smyth, and Y. W. Teh. On smoothing and inference for topic models. In UAI, pages 27-34, 2009.
-
(2009)
UAI
, pp. 27-34
-
-
Asuncion, A.1
Welling, M.2
Smyth, P.3
The, Y.W.4
-
3
-
-
80053436198
-
Unsupervised models of images by spike-and-slab rbms
-
Y. Bengio, A. C. Courville, and J. S. Bergstra. Unsupervised models of images by spike-and-slab rbms. In ICML, pages 1145-1152, 2011.
-
(2011)
ICML
, pp. 1145-1152
-
-
Bengio, Y.1
Courville, A.C.2
Bergstra, J.S.3
-
4
-
-
84861170800
-
Probabilistic topic models
-
D. M. Blei. Probabilistic topic models. Communications of the ACM, 55(4):77-84, 2012.
-
(2012)
Communications of the ACM
, vol.55
, Issue.4
, pp. 77-84
-
-
Blei, D.M.1
-
5
-
-
33645025214
-
Hierarchical topic models and the nested chinese restaurant process
-
D. M. Blei, T. L. Griffiths, M. I. Jordan, and J. B. Tenenbaum. Hierarchical topic models and the nested chinese restaurant process. In NIPS, pages 106-114, 2003.
-
(2003)
NIPS
, pp. 106-114
-
-
Blei, D.M.1
Griffiths, T.L.2
Jordan, M.I.3
Tenenbaum, J.B.4
-
6
-
-
0141607824
-
Latent dirichlet allocation
-
D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 3:993-1022, 2003.
-
(2003)
JMLR
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
7
-
-
84863381525
-
Reading tea leaves: How humans interpret topic models
-
J. Chang, J. L. Boyd-Graber, S. Gerrish, C. Wang, and D. M. Blei. Reading tea leaves: How humans interpret topic models. In NIPS, pages 288-296, 2009.
-
(2009)
NIPS
, pp. 288-296
-
-
Chang, J.1
Boyd-Graber, J.L.2
Gerrish, S.3
Wang, C.4
Blei, D.M.5
-
8
-
-
84866008256
-
The contextual focused topic model
-
X. Chen, M. Zhou, and L. Carin. The contextual focused topic model. In KDD, pages 96-104, 2012.
-
(2012)
KDD
, pp. 96-104
-
-
Chen, X.1
Zhou, M.2
Carin, L.3
-
10
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, 2:265-292, 2002.
-
(2002)
JMLR
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
11
-
-
80053292525
-
Posterior vs. Parameter sparsity in latent variable models
-
J. V. Graca, K. Ganchev, B. Taskar, and F. Pereira. Posterior vs. parameter sparsity in latent variable models. In NIPS, pages 664-672, 2009.
-
(2009)
NIPS
, pp. 664-672
-
-
Graca, J.V.1
Ganchev, K.2
Taskar, B.3
Pereira, F.4
-
12
-
-
1842788824
-
Finding scientific topics
-
T. Griffiths and M. Steyvers. Finding scientific topics. PNAS, 101:5228-5235, 2004.
-
(2004)
PNAS
, vol.101
, pp. 5228-5235
-
-
Griffiths, T.1
Steyvers, M.2
-
13
-
-
11244330002
-
Probabilistic latent semantic analysis
-
T. Hofmann. Probabilistic latent semantic analysis. In UAI, pages 289-296, 1999.
-
(1999)
UAI
, pp. 289-296
-
-
Hofmann, T.1
-
14
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. O. Hoyer. Non-negative matrix factorization with sparseness constraints. JMLR, 5:1457-1469, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
15
-
-
22944460748
-
Spike and slab variable selection: Frequentist and bayesian strategies
-
H. Ishwaran and J. S. Rao. Spike and slab variable selection: Frequentist and bayesian strategies. The Annals of Statistics, 33(2):730-773, 2005.
-
(2005)
The Annals of Statistics
, vol.33
, Issue.2
, pp. 730-773
-
-
Ishwaran, H.1
Rao, J.S.2
-
16
-
-
2942588992
-
Learning to read between the lines: The aspect bernoulli model
-
A. Kabán, E. Bingham, and T. Hirsimäki. Learning to read between the lines: The aspect bernoulli model. In SDM, pages 462-466, 2004.
-
(2004)
SDM
, pp. 462-466
-
-
Kabán, A.1
Bingham, E.2
Hirsimäki, T.3
-
17
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
18
-
-
79953230442
-
Investigating task performance of probabilistic topic models: An empirical study of plsa and lda
-
Y. Lu, Q. Mei, and C. Zhai. Investigating task performance of probabilistic topic models: an empirical study of plsa and lda. Information Retrieval, 14(2):178-203, 2011.
-
(2011)
Information Retrieval
, vol.14
, Issue.2
, pp. 178-203
-
-
Lu, Y.1
Mei, Q.2
Zhai, C.3
-
19
-
-
84883095788
-
Improving lda topic models for microblogs via tweet pooling and automatic labeling
-
R. Mehrotra, S. Sanner, W. Buntine, and L. Xie. Improving lda topic models for microblogs via tweet pooling and automatic labeling. In SIGIR, pages 889-892, 2013.
-
(2013)
SIGIR
, pp. 889-892
-
-
Mehrotra, R.1
Sanner, S.2
Buntine, W.3
Xie, L.4
-
20
-
-
79960498353
-
Automatic evaluation of topic coherence
-
D. Newman, J. H. Lau, K. Grieser, and T. Baldwin. Automatic evaluation of topic coherence. In NAACL, pages 100-108, 2010.
-
(2010)
NAACL
, pp. 100-108
-
-
Newman, D.1
Lau, J.H.2
Grieser, K.3
Baldwin, T.4
-
21
-
-
84867130111
-
Rethinking collapsed variational bayes inference for lda
-
I. Sato and H. Nakagawa. Rethinking collapsed variational bayes inference for lda. In ICML, 2012.
-
(2012)
ICML
-
-
Sato, I.1
Nakagawa, H.2
-
22
-
-
0003040479
-
A multiply cause mixture model for unsupervised learning
-
E. Saund. A multiply cause mixture model for unsupervised learning. Neural Comput., 7(1):51-71, 1995.
-
(1995)
Neural Comput.
, vol.7
, Issue.1
, pp. 51-71
-
-
Saund, E.1
-
23
-
-
85046032701
-
Sparse overcomplete latent variable decomposition of counts data
-
M. Shashanka, B. Raj, and P. Smaragdis. Sparse overcomplete latent variable decomposition of counts data. In NIPS, pages 1313-1320, 2007.
-
(2007)
NIPS
, pp. 1313-1320
-
-
Shashanka, M.1
Raj, B.2
Smaragdis, P.3
-
24
-
-
85017329626
-
One theme in all views: Modeling consensus topics in multiple contexts authors
-
J. Tang, M. Zhang, and Q. Mei. One theme in all views: Modeling consensus topics in multiple contexts authors. In KDD, pages 5-13, 2013.
-
(2013)
KDD
, pp. 5-13
-
-
Tang, J.1
Zhang, M.2
Mei, Q.3
-
25
-
-
84864061876
-
A collapsed variational bayesian inference algorithm for latent dirichlet allocation
-
Y. W. Teh, D. Newman, and M. Welling. A collapsed variational bayesian inference algorithm for latent dirichlet allocation. In NIPS, pages 1353-1360, 2006.
-
(2006)
NIPS
, pp. 1353-1360
-
-
Teh, Y.W.1
Newman, D.2
Welling, M.3
-
26
-
-
79952129745
-
Rethinking lda: Why priors matter
-
H. M. Wallach, D. Mimno, and A. McCallum. Rethinking lda: Why priors matter. In NIPS, pages 1973-1981, 2009.
-
(2009)
NIPS
, pp. 1973-1981
-
-
Wallach, H.M.1
Mimno, D.2
McCallum, A.3
-
27
-
-
77956499537
-
Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process
-
C. Wang and D. M. Blei. Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process. In NIPS, pages 1982-1989, 2009.
-
(2009)
NIPS
, pp. 1982-1989
-
-
Wang, C.1
Blei, D.M.2
-
28
-
-
80052122601
-
Regularized latent semantic indexing
-
Q. Wang, J. Xu, H. Li, and N. Craswell. Regularized latent semantic indexing. In SIGIR, pages 685-694, 2011.
-
(2011)
SIGIR
, pp. 685-694
-
-
Wang, Q.1
Xu, J.2
Li, H.3
Craswell, N.4
-
30
-
-
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, pages 1151-1158, 2010.
-
(2010)
ICML
, pp. 1151-1158
-
-
Williamson, S.1
Wang, C.2
Heller, K.A.3
Blei, D.M.4
-
31
-
-
84995774405
-
Comparing twitter and traditional media using topic models
-
W. X. Zhao, J. Jiang, J. Weng, J. He, E.-P. Lim, H. Yan, and X. Li. Comparing twitter and traditional media using topic models. In ECIR, pages 338-349, 2011.
-
(2011)
ECIR
, pp. 338-349
-
-
Zhao, W.X.1
Jiang, J.2
Weng, J.3
He, J.4
Lim, E.-P.5
Yan, H.6
Li, X.7
-
32
-
-
80053134572
-
Sparse topical coding
-
J. Zhu and E. P. Xing. Sparse topical coding. In UAI, pages 831-838, 2011.
-
(2011)
UAI
, pp. 831-838
-
-
Zhu, J.1
Xing, E.P.2
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