David McAllester

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Pedro FelzenszwalbBrown UniversityAdresse e-mail validée de brown.edu
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Adresse e-mail validée de allenai.org
Yishay MansourTel Aviv UniversityAdresse e-mail validée de tauex.tau.ac.il
Henry KautzProfessor Emeritus of Computer Science, University of RochesterAdresse e-mail validée de cs.rochester.edu
Bart SelmanProfessor of Computer Science, Cornell UniversityAdresse e-mail validée de cs.cornell.edu
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Adresse e-mail validée de cs.toronto.edu
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyAdresse e-mail validée de technion.ac.il
Hai WangApplied Scientist, AmazonAdresse e-mail validée de ttic.edu
Robert SchapireMicrosoft ResearchAdresse e-mail validée de microsoft.com
Kevin GimpelQuillBotAdresse e-mail validée de ttic.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Koichiro YamaguchiToyota Research Institute - Advanced DevelopmentAdresse e-mail validée de tri-ad.global
Deepak KapurUniversity of New MexicoAdresse e-mail validée de cs.unm.edu
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionAdresse e-mail validée de technion.ac.il
Ramin ZabihProfessor of Computer Science, Cornell UniversityAdresse e-mail validée de cs.cornell.edu
Jeffrey Mark SiskindPurdue UniversityAdresse e-mail validée de purdue.edu
Michael CollinsGoogle NYCAdresse e-mail validée de cs.columbia.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillAdresse e-mail validée de cs.unc.edu
Frédéric BenhamouProfesseur d'informatique, Université de NantesAdresse e-mail validée de univ-nantes.fr

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David McAllester

Professor, Toyota Technological Institute at Chicago

Adresse e-mail validée de ttic.edu - Page d'accueil

Artificial Intelligence Machine Learning Computer Vision Programming Languages Formal Methods


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	13117	2009
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	8566*	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	3948	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	1324	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	896	1991
Some pac-bayesian theorems DA McAllester Proceedings of the eleventh annual conference on Computational learning …, 1998	859	1998
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	588	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	473	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	428	2001
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001	420	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	324	2003
An outlook on truth maintenance DA McAllester	304	1980
Formal limitations on the measurement of mutual information D McAllester, K Stratos International Conference on Artificial Intelligence and Statistics, 875-884, 2020	282	2020
Simplified PAC-Bayesian margin bounds D McAllester Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003	266	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	262	1997

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