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
317752003
Probabilistic topic models
DM Blei
Communications of the ACM 55 (4), 77-84, 2012
5501*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
41112005
Dynamic topic models
DM Blei, JD Lafferty
Proceedings of the 23rd international conference on Machine learning, 113-120, 2006
24702006
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
19282003
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of machine learning research 9 (Sep), 1981-2014, 2008
18412008
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
17042009
Supervised topic models
JD Mcauliffe, DM Blei
Advances in neural information processing systems, 121-128, 2008
16842008
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
15542013
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
14202010
Collaborative topic modeling for recommending scientific articles
C Wang, DM Blei
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
13802011
Modeling annotated data
DM Blei, MI Jordan
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
13482003
A correlated topic model of science
DM Blei, JD Lafferty
The Annals of Applied Statistics 1 (1), 17-35, 2007
13352007
Variational inference: A review for statisticians
DM Blei, A Kucukelbir, JD McAuliffe
Journal of the American statistical Association 112 (518), 859-877, 2017
12842017
Variational inference for Dirichlet process mixtures
DM Blei, MI Jordan
Bayesian analysis 1 (1), 121-143, 2006
12782006
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
11312004
Correlated topic models
D Blei, J Lafferty
Advances in neural information processing systems 18, 147, 2006
9552006
Topic models
DM Blei, JD Lafferty
Text mining, 101-124, 2009
9052009
Relational topic models for document networks
J Chang, D Blei
Artificial Intelligence and Statistics, 81-88, 2009
759*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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