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
317032003
Probabilistic topic models
DM Blei
Communications of the ACM 55 (4), 77-84, 2012
5479*2012
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
41052005
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
24662006
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
19262003
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of machine learning research 9 (Sep), 1981-2014, 2008
18392008
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
16992009
Supervised topic models
JD Mcauliffe, DM Blei
Advances in neural information processing systems, 121-128, 2008
16822008
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
15492013
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
14132010
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
13762011
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
13472003
A correlated topic model of science
DM Blei, JD Lafferty
The Annals of Applied Statistics 1 (1), 17-35, 2007
13302007
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
Bayesian analysis 1 (1), 121-143, 2006
12772006
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
12752017
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
11302004
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
9522006
Topic models
DM Blei, JD Lafferty
Text mining, 101-124, 2009
9022009
Relational topic models for document networks
J Chang, D Blei
Artificial Intelligence and Statistics, 81-88, 2009
758*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
6802010
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