David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
Chong WangAppleEmail confirmado em cs.princeton.edu
John PaisleyColumbia UniversityEmail confirmado em columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityEmail confirmado em fas.harvard.edu
Jordan Boyd-GraberFull Professor, University of MarylandEmail confirmado em umiacs.umd.edu
Jonathan ChangFacebookEmail confirmado em fb.com
Prem GopalanCTO, The Voleon GroupEmail confirmado em cs.princeton.edu
Samuel GershmanProfessor, Harvard UniversityEmail confirmado em fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyEmail confirmado em stat.berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail confirmado em princeton.edu
Francis BachInria - Ecole Normale SupérieureEmail confirmado em inria.fr
Joshua B. TenenbaumMITEmail confirmado em mit.edu
Allison J.B. ChaneyDuke UniversityEmail confirmado em duke.edu
David MimnoAssociate Professor, Cornell UniversityEmail confirmado em cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindEmail confirmado em stats.ox.ac.uk
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityEmail confirmado em princeton.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail confirmado em cs.stanford.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityEmail confirmado em cornell.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinEmail confirmado em mccombs.utexas.edu
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyEmail confirmado em cs.hacettepe.edu.tr

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David Blei

Professor of Statistics and Computer Science, Columbia University

Email confirmado em columbia.edu - Página inicial

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55954	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	8167	2012
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	5957	2017
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5488	2004
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	3906	2006
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, 2009	3463	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	3214	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2699	2008
A correlated topic model of Science DM Blei, JD Lafferty	2425*	2007
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 2007	2336	2007
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2314	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	2120	2011
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan The Journal of Machine Learning Research 3, 1107-1135, 2003	2116	2003
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1931	2006
Topic Models DM Blei Text mining/Chapman and Hall/CRC, 2009	1668	2009
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1589	2003
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1577	2003
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1432	2014
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1408	2006
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding P DiMaggio, M Nag, D Blei Poetics 41 (6), 570-606, 2013	1391	2013

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