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
348672003
Probabilistic topic models
DM Blei
Communications of the ACM 55 (4), 77-84, 2012
6070*2012
Hierarchical dirichlet processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Journal of the american statistical association 101 (476), 1566-1581, 2006
43882006
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
26672006
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of machine learning research 9 (Sep), 1981-2014, 2008
19842008
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
19662003
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, 288-296, 2009
19502009
Supervised topic models
J Mcauliffe, D Blei
Advances in neural information processing systems 20, 121-128, 2007
18162007
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
18042013
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
17202017
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
15462010
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
15292011
A correlated topic model of science
DM Blei, JD Lafferty
The Annals of Applied Statistics 1 (1), 17-35, 2007
1499*2007
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
Bayesian analysis 1 (1), 121-143, 2006
13912006
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
13902003
Hierarchical topic models and the nested Chinese restaurant process
T Griffiths, M Jordan, J Tenenbaum, D Blei
Advances in neural information processing systems 16, 17-24, 2003
12102003
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
10272006
Topic models
DM Blei, JD Lafferty
Text mining: classification, clustering, and applications 10 (71), 34, 2009
9912009
Relational topic models for document networks
J Chang, D Blei
Artificial Intelligence and Statistics, 81-88, 2009
807*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
7262010
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Articles 1–20