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, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
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
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Hai WangScientist, AmazonVerified email at ttic.edu
Kevin GimpelToyota Technological Institute at Chicago, QuillBotVerified 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 (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


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	12533	2009
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	7266*	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	3711	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	1247	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	902	1991
Some pac-bayesian theorems DA McAllester Proceedings of the eleventh annual conference on Computational learning …, 1998	735	1998
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	558	1997
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	526	1999
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	468	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	416	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	415	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	409	1997
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001	402	2001
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in neural information processing systems 24, 2011	352	2011
An outlook on truth maintenance DA McAllester	301	1980
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51, 5-21, 2003	294	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	264	1997
Discriminatively trained deformable part models, release 4 PF Felzenszwalb http://people. cs. uchicago. edu/pff/latent-release4/, 2010	249	2010
Simplified PAC-Bayesian margin bounds D McAllester Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	234	2003

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