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
297232003
Probabilistic topic models
M Steyvers, T Griffiths
Handbook of latent semantic analysis 427 (7), 424-440, 2007
50162007
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
39402005
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
23252006
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
19012003
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of machine learning research 9 (Sep), 1981-2014, 2008
17472008
Supervised topic models
JD Mcauliffe, DM Blei
Advances in neural information processing systems, 121-128, 2008
16292008
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
15632009
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
13882013
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
13262010
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
13172003
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
12582011
A correlated topic model of science
DM Blei, JD Lafferty
The Annals of Applied Statistics 1 (1), 17-35, 2007
12262007
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
Bayesian analysis 1 (1), 121-143, 2006
12002006
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
10802004
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
9792017
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
9212006
Topic models
DM Blei, JD Lafferty
Text Mining, 101-124, 2009
8412009
Relational topic models for document networks
J Chang, D Blei
Artificial Intelligence and Statistics, 81-88, 2009
711*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), 7, 2010
6372010
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Articles 1–20