David Blei
David Blei
Professor of Statistics and Computer Science, Columbia University
Verified email at columbia.edu - Homepage
TitleCited byYear
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
277382003
Probabilistic topic models
M Steyvers, T Griffiths
Handbook of latent semantic analysis 427 (7), 424-440, 2007
46502007
Sharing clusters among related groups: Hierarchical Dirichlet processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Advances in neural information processing systems, 1385-1392, 2005
38012005
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
21762006
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N Freitas, DM Blei, MI Jordan
Journal of machine learning research 3 (Feb), 1107-1135, 2003
18632003
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of machine learning research 9 (Sep), 1981-2014, 2008
16382008
Supervised topic models
JD Mcauliffe, DM Blei
Advances in neural information processing systems, 121-128, 2008
15392008
Reading tea leaves: How humans interpret topic models
J Chang, S Gerrish, C Wang, JL Boyd-Graber, DM Blei
Advances in neural information processing systems, 288-296, 2009
14352009
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
12882003
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
12582013
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
12422010
A correlated topic model of science
DM Blei, JD Lafferty
The Annals of Applied Statistics 1 (1), 17-35, 2007
11502007
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
11492011
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
Bayesian analysis 1 (1), 121-143, 2006
11382006
Hierarchical topic models and the nested Chinese restaurant process
TL Griffiths, MI Jordan, JB Tenenbaum, DM Blei
Advances in neural information processing systems, 17-24, 2004
10342004
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
8792006
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American Statistical Association 112 (518), 859-877, 2017
7822017
Topic models
DM Blei, JD Lafferty
Text Mining, 101-124, 2009
7772009
Relational topic models for document networks
J Chang, D Blei
Artificial Intelligence and Statistics, 81-88, 2009
665*2009
Simultaneous image classification and annotation
W Chong, D Blei, FF Li
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1903-1910, 2009
6142009
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Articles 1–20