David M. Blei

	2012
60		Chong Wang, David M. Blei: A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process CoRR abs/1201.1657: (2012)
59		David M. Blei: Probabilistic topic models. Commun. ACM 55(4): 77-84 (2012)
58		John William Paisley, David M. Blei, Michael I. Jordan: Stick-Breaking Beta Processes and the Poisson Process. Journal of Machine Learning Research - Proceedings Track 22: 850-858 (2012)
	2011
57		David M. Mimno, David M. Blei: Bayesian Checking for Topic Models. EMNLP 2011: 227-237
56		Sean Gerrish, David M. Blei: Predicting Legislative Roll Calls from Text. ICML 2011: 489-496
55		John William Paisley, Lawrence Carin, David M. Blei: Variational Inference for Stick-Breaking Beta Process Priors. ICML 2011: 889-896
54		Chong Wang, David M. Blei: Collaborative topic modeling for recommending scientific articles. KDD 2011: 448-456
53		Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David M. Blei: Spatial distance dependent Chinese restaurant processes for image segmentation. NIPS 2011: 1476-1484
52		Lauren Hannah, David M. Blei, Warren B. Powell: Dirichlet Process Mixtures of Generalized Linear Models. Journal of Machine Learning Research 12: 1923-1953 (2011)
51		David M. Blei, Peter Frazier: Distance Dependent Chinese Restaurant Processes. Journal of Machine Learning Research 12: 2461-2488 (2011)
50		John William Paisley, Chong Wang, David M. Blei: The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. Journal of Machine Learning Research - Proceedings Track 15: 74-82 (2011)
49		Chong Wang, John William Paisley, David M. Blei: Online Variational Inference for the Hierarchical Dirichlet Process. Journal of Machine Learning Research - Proceedings Track 15: 752-760 (2011)
48		Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman: A topographic latent source model for fMRI data. NeuroImage 57(1): 89-100 (2011)
	2010
47		Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Fei-Fei Li: Building and using a semantivisual image hierarchy. CVPR 2010: 3336-3343
46		Shay B. Cohen, David M. Blei, Noah A. Smith: Variational Inference for Adaptor Grammars. HLT-NAACL 2010: 564-572
45		Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei: The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML 2010: 1151-1158
44		Sean Gerrish, David M. Blei: A Language-based Approach to Measuring Scholarly Impact. ICML 2010: 375-382
43		Matthew D. Hoffman, David M. Blei, Perry R. Cook: Bayesian Nonparametric Matrix Factorization for Recorded Music. ICML 2010: 439-446
42		David M. Blei, Peter Frazier: Distance dependent Chinese restaurant processes. ICML 2010: 87-94
41		Lauren Hannah, Warren B. Powell, David M. Blei: Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable. NIPS 2010: 820-828
40		Matthew D. Hoffman, David M. Blei, Francis R. Bach: Online Learning for Latent Dirichlet Allocation. NIPS 2010: 856-864
39		Jordan L. Boyd-Graber, David M. Blei: Syntactic Topic Models CoRR abs/1002.4665: (2010)
38		David M. Blei, Thomas L. Griffiths, Michael I. Jordan: The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. J. ACM 57(2): (2010)
37		Lauren Hannah, David M. Blei, Warren B. Powell: Dirichlet Process Mixtures of Generalized Linear Models. Journal of Machine Learning Research - Proceedings Track 9: 313-320 (2010)
36		Alexander Lorbert, David Eis, Victoria Kostina, David M. Blei, Peter J. Ramadge: Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net. Journal of Machine Learning Research - Proceedings Track 9: 477-484 (2010)
	2009
35		Chong Wang, David M. Blei, Fei-Fei Li: Simultaneous image classification and annotation. CVPR 2009: 1903-1910
34		Matthew D. Hoffman, David M. Blei, Perry R. Cook: Easy As CBA: A Simple Probabilistic Model for Tagging Music. ISMIR 2009: 369-374
33		Jonathan Chang, Jordan L. Boyd-Graber, David M. Blei: Connections between the lines: augmenting social networks with text. KDD 2009: 169-178
32		Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman: A Bayesian Analysis of Dynamics in Free Recall. NIPS 2009: 1714-1722
31		Chong Wang, David M. Blei: Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. NIPS 2009: 1982-1989
30		Chong Wang, David M. Blei: Variational Inference for the Nested Chinese Restaurant Process. NIPS 2009: 1990-1998
29		Jonathan Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei: Reading Tea Leaves: How Humans Interpret Topic Models. NIPS 2009: 288-296
28		Jordan L. Boyd-Graber, David M. Blei: Multilingual Topic Models for Unaligned Text. UAI 2009: 75-82
27		Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei: Markov Topic Models. Journal of Machine Learning Research - Proceedings Track 5: 583-590 (2009)
26		Jonathan Chang, David M. Blei: Relational Topic Models for Document Networks. Journal of Machine Learning Research - Proceedings Track 5: 81-88 (2009)
	2008
25		Matthew D. Hoffman, David M. Blei, Perry R. Cook: Content-Based Musical Similarity Computation using the Hierarchical Dirichlet Process. ISMIR 2008: 349-354
24		Indraneel Mukherjee, David M. Blei: Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation. NIPS 2008: 1129-1136
23		Jordan L. Boyd-Graber, David M. Blei: Syntactic Topic Models. NIPS 2008: 185-192
22		Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing: Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40
21		Chong Wang, David M. Blei, David Heckerman: Continuous Time Dynamic Topic Models. UAI 2008: 579-586
20		Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing: Mixed Membership Stochastic Blockmodels. Journal of Machine Learning Research 9: 1981-2014 (2008)
	2007
19		Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu: A Topic Model for Word Sense Disambiguation. EMNLP-CoNLL 2007: 1024-1033
18		David M. Kaplan, David M. Blei: A Computational Approach to Style in American Poetry. ICDM 2007: 553-558
17		Miroslav Dudík, David M. Blei, Robert E. Schapire: Hierarchical maximum entropy density estimation. ICML 2007: 249-256
16		David M. Blei, Jon D. McAuliffe: Supervised Topic Models. NIPS 2007
15		Wei Li, David M. Blei, Andrew McCallum: Nonparametric Bayes Pachinko Allocation. UAI 2007: 243-250
	2006
14		David M. Blei, John D. Lafferty: Dynamic topic models. ICML 2006: 113-120
13		David M. Blei, K. Franks, Michael I. Jordan, I. Saira Mian: Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. BMC Bioinformatics 7: 250 (2006)
12		Jon D. McAuliffe, David M. Blei, Michael I. Jordan: Nonparametric empirical Bayes for the Dirichlet process mixture model. Statistics and Computing 16(1): 5-14 (2006)
	2005
11		David M. Blei, John D. Lafferty: Correlated Topic Models. NIPS 2005
	2004
10		David M. Blei, Michael I. Jordan: Variational methods for the Dirichlet process. ICML 2004
9		Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum: Integrating Topics and Syntax. NIPS 2004
8		Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
	2003
7		David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum: Hierarchical Topic Models and the Nested Chinese Restaurant Process. NIPS 2003
6		David M. Blei, Michael I. Jordan: Modeling annotated data. SIGIR 2003: 127-134
5		Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan: Matching Words and Pictures. Journal of Machine Learning Research 3: 1107-1135 (2003)
4		David M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. Journal of Machine Learning Research 3: 993-1022 (2003)
	2002
3		David M. Blei, J. Andrew Bagnell, Andrew McCallum: Learning with Scope, with Application to Information Extraction and Classification. UAI 2002: 53-60
	2001
2		David M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. NIPS 2001: 601-608
1		David M. Blei, Pedro J. Moreno: Topic Segmentation with an Aspect Hidden Markov Model. SIGIR 2001: 343-348

Coauthor Index

1	Edoardo Airoldi (Edoardo M. Airoldi, Edo Airoldi)	[20] [22]
2	Francis R. Bach (Francis Bach)	[40]
3	J. Andrew Bagnell (Drew Bagnell)	[3]
4	Kobus Barnard	[5]
5	Matthew J. Beal	[8]
6	Jordan L. Boyd-Graber	[19] [23] [28] [29] [33] [39]
7	Lawrence Carin	[55]
8	Jonathan Chang	[26] [29] [33]
9	Shay B. Cohen	[46]
10	Perry R. Cook	[25] [34] [43]
11	Miroslav Dudík	[17]
12	Pinar Duygulu	[5]
13	David Eis	[36]
14	Stephen E. Fienberg	[20] [22]
15	David A. Forsyth	[5]
16	K. Franks	[13]
17	Peter Frazier	[42] [51]
18	Nando de Freitas	[5]
19	Sean Gerrish	[29] [44] [56]
20	Samuel Gershman	[32] [48]
21	Soumya Ghosh	[53]
22	Thomas L. Griffiths	[7] [9] [38]
23	Lauren Hannah	[37] [41] [52]
24	David Heckerman	[21]
25	Katherine A. Heller	[45]
26	Matthew D. Hoffman	[25] [34] [40] [43]
27	Michael I. Jordan	[2] [4] [5] [6] [7] [8] [10] [12] [13] [38] [58]
28	David M. Kaplan	[18]
29	Victoria Kostina	[36]
30	John D. Lafferty	[11] [14]
31	Fei-Fei Li	[35]
32	Li-Jia Li	[47]
33	Wei Li	[15]
34	Fei-Fei Li	[47]
35	Yongwhan Lim	[47]
36	Alexander Lorbert	[36]
37	Jon D. McAuliffe	[12] [16]
38	Andrew McCallum	[3] [15]
39	Christopher Meek	[27]
40	I. Saira Mian	[13]
41	David M. Mimno	[57]
42	Pedro J. Moreno	[1]
43	Indraneel Mukherjee	[24]
44	Andrew Y. Ng	[2] [4]
45	Kenneth A. Norman	[32] [48]
46	John William Paisley	[49] [50] [55] [58]
47	Francisco Pereira	[48]
48	Adler J. Perotte	[32]
49	Warren B. Powell	[37] [41] [52]
50	Peter J. Ramadge	[36]
51	Robert E. Schapire	[17]
52	Per B. Sederberg	[32]
53	Noah A. Smith	[46]
54	Richard Socher	[32]
55	Mark Steyvers	[9]
56	Erik B. Sudderth	[53]
57	Yee Whye Teh	[8]
58	Joshua B. Tenenbaum	[7] [9]
59	Bo Thiesson	[27]
60	Andrei B. Ungureanu	[53]
61	Chong Wang	[21] [27] [29] [30] [31] [35] [45] [47] [49] [50] [54] [60]
62	Sinead Williamson	[45]
63	Eric P. Xing	[20] [22]
64	Xiaojin Zhu (Xiaojin (Jerry) Zhu)	[19]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page