David Blei

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

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David Blei

Professor of Statistics and Computer Science, Columbia University

Verificeret mail på columbia.edu - Startside

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	56019	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	8171	2012
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	5960	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	3907	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	3464	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	3215	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2698	2008
A correlated topic model of Science DM Blei, JD Lafferty	2426*	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	2315	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	2124	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	2117	2003
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1931	2006
Topic Models DM Blei Text mining/Chapman and Hall/CRC, 2009	1667	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	1578	2003
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1430	2014
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1410	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	1390	2013

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