David McAllester

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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, Allen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Henry KautzProfessor Emeritus 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 WangApplied Scientist, AmazonVerified email at ttic.edu
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Kevin GimpelQuillBotVerified email at ttic.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Koichiro YamaguchiToyota Research Institute - Advanced DevelopmentVerified email at tri-ad.global
Deepak KapurUniversity of New MexicoVerified email at cs.unm.edu
Joseph 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 BansalParker Distinguished Professor, 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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, 2009	13178	2009
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	8664*	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	3965	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	1329	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	897	1991
Some pac-bayesian theorems DA McAllester Proceedings of the eleventh annual conference on Computational learning …, 1998	865	1998
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	594	1999
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	560	1997
CLP (Intervals) Revisited. F Benhamou, DA McAllester, P Van Hentenryck ILPS 94, 1-21, 1994	489	1994
Encoding plans in propositional logic H Kautz, D McAllester, B Selman KR 96, 374-384, 1996	475	1996
Efficient joint segmentation, occlusion labeling, stereo and flow estimation K Yamaguchi, D McAllester, R Urtasun Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	433	2014
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	432	2001
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001	421	2001
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	420	1997
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in neural information processing systems 24, 2011	373	2011
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51 (1), 5-21, 2003	327	2003
An outlook on truth maintenance DA McAllester	303	1980
Formal limitations on the measurement of mutual information D McAllester, K Stratos International Conference on Artificial Intelligence and Statistics, 875-884, 2020	288	2020
Simplified PAC-Bayesian margin bounds D McAllester Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	268	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	263	1997

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