David McAllester

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Citations	34597	15037
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i10-index	115	59

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Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Henry KautzProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Bart SelmanProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Hai WangPh.D, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Kevin GimpelToyota Technological Institute at ChicagoVerified email at ttic.edu
Koichiro YamaguchiToyota Research Institute - Advanced DevelopmentVerified email at tri-ad.global
Deepak KapurUniversity of New MexicoVerified email at cs.unm.edu
Joseph (Yossi) KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionVerified email at technion.ac.il
Ramin ZabihProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Jeffrey Mark SiskindPurdue UniversityVerified email at purdue.edu
Michael CollinsGoogle NYCVerified email at cs.columbia.edu
Mohit BansalProfessor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Frédéric BenhamouProfesseur d'informatique, Université de NantesVerified email at univ-nantes.fr

David McAllester

Professor, Toyota Technological Institute at Chicago

Verified email at ttic.edu - Homepage

Artificial Intelligence Machine Learning Computer Vision Programming Languages Formal Methods


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Object detection with discriminatively trained part-based models PF Felzenszwalb, RB Girshick, D McAllester, D Ramanan IEEE transactions on pattern analysis and machine intelligence 32 (9), 1627-1645, 2010	11453	2010
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	5401*	1999
A discriminatively trained, multiscale, deformable part model P Felzenszwalb, D McAllester, D Ramanan 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	3341	2008
Cascade object detection with deformable part models PF Felzenszwalb, RB Girshick, D McAllester 2010 IEEE Computer society conference on computer vision and pattern …, 2010	1126	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	887	1991
Some pac-bayesian theorems DA McAllester Machine Learning 37 (3), 355-363, 1999	614	1999
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	536	1997
CLP (Intervals) Revisited. F Benhamou, DA McAllester, P Van Hentenryck ILPS 94, 1-21, 1994	477	1994
Encoding plans in propositional logic H Kautz, D McAllester, B Selman KR 96, 374-384, 1996	446	1996
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	411	1999
Efficient joint segmentation, occlusion labeling, stereo and flow estimation K Yamaguchi, D McAllester, R Urtasun European Conference on Computer Vision, 756-771, 2014	399	2014
Solving polynomial systems using a branch and prune approach P Van Hentenryck, D McAllester, D Kapur SIAM Journal on Numerical Analysis 34 (2), 797-827, 1997	390	1997
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001	387	2001
An indexed model of recursive types for foundational proof-carrying code AW Appel, D McAllester ACM Transactions on Programming Languages and Systems (TOPLAS) 23 (5), 657-683, 2001	380	2001
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in neural information processing systems 24, 2011	316	2011
An outlook on truth maintenance DA McAllester	291	1980
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51 (1), 5-21, 2003	255	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	255	1997
Discriminatively trained deformable part models, release 4 PF Felzenszwalb http://people. cs. uchicago. edu/pff/latent-release4/, 2010	223	2010
Conspiracy numbers for min-max search DA McAllester Artificial Intelligence 35 (3), 287-310, 1988	219	1988

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