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David Blei
David Blei
Professor of Statistics and Computer Science, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
527372003
Probabilistic topic models
DM Blei
Communications of the ACM 55 (4), 77-84, 2012
75952012
Sharing clusters among related groups: Hierarchical Dirichlet processes
Y Teh, M Jordan, M Beal, D Blei
Advances in neural information processing systems 17, 2004
53372004
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
51552017
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
37012006
Reading tea leaves: How humans interpret topic models
J Chang, S Gerrish, C Wang, J Boyd-Graber, D Blei
Advances in neural information processing systems 22, 2009
32212009
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
Journal of Machine Learning Research, 2013
29832013
Mixed membership stochastic blockmodels
EM Airoldi, D Blei, S Fienberg, E Xing
Advances in neural information processing systems 21, 2008
25972008
A correlated topic model of Science
DM Blei, JD Lafferty
2287*2007
Supervised topic models
J Mcauliffe, D Blei
Advances in neural information processing systems 20, 2007
22622007
Online learning for latent dirichlet allocation
M Hoffman, F Bach, D Blei
advances in neural information processing systems 23, 2010
22252010
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan
The Journal of Machine Learning Research 3, 1107-1135, 2003
21242003
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
20862011
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
18572006
Topic models
DM Blei, JD Lafferty
Text mining, 101-124, 2009
16042009
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
15742003
Hierarchical topic models and the nested Chinese restaurant process
T Griffiths, M Jordan, J Tenenbaum, D Blei
Advances in neural information processing systems 16, 2003
15282003
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
13472006
Black box variational inference
R Ranganath, S Gerrish, D Blei
Artificial intelligence and statistics, 814-822, 2014
13032014
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding
P DiMaggio, M Nag, D Blei
Poetics 41 (6), 570-606, 2013
12402013
Relational topic models for document networks
J Chang, D Blei
Artificial intelligence and statistics, 81-88, 2009
1029*2009
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
DM Blei, TL Griffiths, MI Jordan
Journal of the ACM (JACM) 57 (2), 1-30, 2010
8902010
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
Journal of machine learning research 18 (14), 1-45, 2017
8372017
Simultaneous image classification and annotation
W Chong, D Blei, FF Li
2009 IEEE Conference on computer vision and pattern recognition, 1903-1910, 2009
7482009
Integrating topics and syntax
T Griffiths, M Steyvers, D Blei, J Tenenbaum
Advances in neural information processing systems 17, 2004
7382004
A tutorial on Bayesian nonparametric models
SJ Gershman, DM Blei
Journal of Mathematical Psychology 56 (1), 1-12, 2012
7152012
Stochastic gradient descent as approximate bayesian inference
M Stephan, MD Hoffman, DM Blei
Journal of Machine Learning Research 18 (134), 1-35, 2017
6642017
Continuous time dynamic topic models
C Wang, D Blei, D Heckerman
arXiv preprint arXiv:1206.3298, 2012
6532012
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
6082020
Variational Bayesian inference with stochastic search
J Paisley, D Blei, M Jordan
arXiv preprint arXiv:1206.6430, 2012
5922012
Online variational inference for the hierarchical Dirichlet process
C Wang, J Paisley, DM Blei
Proceedings of the fourteenth international conference on artificial …, 2011
5432011
Probabilistic topic models
D Blei, L Carin, D Dunson
IEEE signal processing magazine 27 (6), 55-65, 2010
5272010
Distance dependent Chinese restaurant processes.
DM Blei, PI Frazier
Journal of Machine Learning Research 12 (8), 2011
4212011
Context, learning, and extinction.
SJ Gershman, DM Blei, Y Niv
Psychological review 117 (1), 197, 2010
4202010
Modeling user exposure in recommendation
D Liang, L Charlin, J McInerney, DM Blei
Proceedings of the 25th international conference on World Wide Web, 951-961, 2016
3982016
Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces
A Gupta, M Hebert, T Kanade, D Blei
Advances in neural information processing systems 23, 2010
3772010
Hierarchical variational models
R Ranganath, D Tran, D Blei
International conference on machine learning, 324-333, 2016
3682016
Efficient discovery of overlapping communities in massive networks
PK Gopalan, DM Blei
Proceedings of the National Academy of Sciences 110 (36), 14534-14539, 2013
3652013
Edward: A library for probabilistic modeling, inference, and criticism
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
3512016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, D Blei
Advances in Neural Information Processing Systems 30, 2017
344*2017
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