David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerifisert e-postadresse på cs.berkeley.edu
Chong WangAppleVerifisert e-postadresse på cs.princeton.edu
John PaisleyColumbia UniversityVerifisert e-postadresse på columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerifisert e-postadresse på fas.harvard.edu
Jordan Boyd-GraberFull Professor, University of MarylandVerifisert e-postadresse på umiacs.umd.edu
Jonathan ChangFacebookVerifisert e-postadresse på fb.com
Prem GopalanCTO, The Voleon GroupVerifisert e-postadresse på cs.princeton.edu
Samuel GershmanProfessor, Harvard UniversityVerifisert e-postadresse på fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerifisert e-postadresse på stat.berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerifisert e-postadresse på princeton.edu
Francis BachInria - Ecole Normale SupérieureVerifisert e-postadresse på inria.fr
Joshua B. TenenbaumMITVerifisert e-postadresse på mit.edu
Allison J.B. ChaneyDuke UniversityVerifisert e-postadresse på duke.edu
David MimnoAssociate Professor, Cornell UniversityVerifisert e-postadresse på cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerifisert e-postadresse på stats.ox.ac.uk
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityVerifisert e-postadresse på princeton.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityVerifisert e-postadresse på cornell.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerifisert e-postadresse på mccombs.utexas.edu
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerifisert e-postadresse på cs.hacettepe.edu.tr
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerifisert e-postadresse på uiuc.edu

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David Blei

Professor of Statistics and Computer Science, Columbia University

Verifisert e-postadresse på columbia.edu - Startside

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	57043	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	8319	2012
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	6331	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	5522	2004
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	5410*	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	3546	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley the Journal of machine Learning research 14 (1), 1303-1347, 2013	3285	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2706	2008
A correlated topic model of science DM Blei, JD Lafferty The annals of applied statistics, 17-35, 2007	2466*	2007
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 2007	2347	2007
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2341	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	2134	2011
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	2111	2003
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1976	2006
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	1592	2003
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1588	2003
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1467	2014
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	1460	2013
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1437	2006
Relational topic models for document networks J Chang, D Blei Artificial intelligence and statistics, 81-88, 2009	1057*	2009

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