David McAllester

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Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
Deva RamananAssociate Professor, 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 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 UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified 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, Dept. of Computer Science, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Ramin ZabihProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Jeffrey Mark SiskindPurdue UniversityVerified email at purdue.edu
Michael CollinsProfessor of Computer Science, Columbia University; Google NYCVerified email at cs.columbia.edu
Yasemin AltunGoogle ResearchVerified email at google.com
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, 2009	10704	2009
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	4223	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	3022	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	1034	2010
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95 (1), 1-12, 2011	929*	2011
Systematic nonlinear planning D McAllester, D Rosenblatt	866	1991
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	528	1997
Some pac-bayesian theorems DA McAllester Machine Learning 37 (3), 355-363, 1999	496	1999
CLP (Intervals) Revisited. F Benhamou, DA McAllester, P Van Hentenryck ILPS 94, 1-21, 1994	466	1994
Encoding plans in propositional logic H Kautz, D McAllester, B Selman KR 96, 374-384, 1996	435	1996
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	379	1997
PAC generalization bounds for co-training S Dasgupta, ML Littman, D McAllester Advances in neural information processing systems 1, 375-382, 2002	362	2002
Efficient joint segmentation, occlusion labeling, stereo and flow estimation K Yamaguchi, D McAllester, R Urtasun European Conference on Computer Vision, 756-771, 2014	355	2014
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	350	1999
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	349	2001
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in Neural Information Processing Systems 24, 442-450, 2011	292	2011
An outlook on truth maintenance DA McAllester	287	1980
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	248	1997
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51 (1), 5-21, 2003	240	2003
Discriminatively trained deformable part models, release 4 PF Felzenszwalb http://people. cs. uchicago. edu/pff/latent-release4/, 2010	226	2010

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