David Tolpin

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Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Ariel FelnerBen-Gurion UniversityVerified email at bgu.ac.il
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern UniversityVerified email at uva.nl
Benjamin MyaraComputer Vision, Apple / Research Data ScientistVerified email at apple.com
Michael DymshitsSenior Data Scientist, PayPalVerified email at paypal.com
Hongseok YangProfessor, School of Computing, KAISTVerified email at kaist.ac.kr
Guni SharonTexas A&M UniversityVerified email at tamu.edu
Eli BoyarskiBen-Gurion University of the NegevVerified email at post.bgu.ac.il
Roni SternBen Gurion University of the Negev, Palo Alto Research Center (PARC)Verified email at bgu.ac.il
Brooks PaigeAssociate Professor, University College LondonVerified email at ucl.ac.uk
Erez KarpasTechnionVerified email at technion.ac.il
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Omri LahavM.Sc. Software EngineeringVerified email at post.bgu.ac.il
Yuan ZhouDepartment of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Reuth MirskySenior Lecturer (Assistant Professor) at Bar Ilan UniversityVerified email at cs.biu.ac.il
Kobi GalBen-Gurion University, University of EdinburghVerified email at bgu.ac.il
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk

David Tolpin

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Aritificial Intelligence Machine Learning Probabilistic Programming


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Icbs: The improved conflict-based search algorithm for multi-agent pathfinding E Boyarski, A Felner, R Stern, G Sharon, O Betzalel, D Tolpin, E Shimony Proceedings of the International Symposium on Combinatorial Search 6 (1 …, 2015	272	2015
Design and implementation of probabilistic programming language anglican D Tolpin, JW van de Meent, H Yang, F Wood Proceedings of the 28th Symposium on the Implementation and Application of …, 2016	133	2016
Selecting computations: Theory and applications N Hay, S Russell, D Tolpin, SE Shimony arXiv preprint arXiv:1408.2048, 2014	89	2014
MCTS based on simple regret D Tolpin, S Shimony Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 570-576, 2012	58	2012
Probabilistic programming in Anglican D Tolpin, JW van de Meent, F Wood Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015	53	2015
Black-box policy search with probabilistic programs JW Vandemeent, B Paige, D Tolpin, F Wood Artificial Intelligence and Statistics, 1195-1204, 2016	28	2016
Toward rational deployment of multiple heuristics in a D Tolpin, T Beja, SE Shimony, A Felner, E Karpas Twenty-Third International Joint Conference on Artificial Intelligence, 2013	26	2013
Process Monitoring on Sequences of System Call Count Vectors M Dymshits, B Myara, D Tolpin https://arxiv.org/abs/1707.03821, 2017	22	2017
Maximum a posteriori estimation by search in probabilistic programs D Tolpin, F Wood Proceedings of the International Symposium on Combinatorial Search 6 (1 …, 2015	15	2015
Rational deployment of multiple heuristics in optimal state-space search E Karpas, O Betzalel, SE Shimony, D Tolpin, A Felner Artificial Intelligence 256, 181-210, 2018	14	2018
Fraud prediction based on partial usage data BH Myara, D Tolpin US Patent 10,621,586, 2020	13	2020
Techniques for rendering media as layers D Tolpin US Patent 9,436,667, 2016	13	2016
Output-sensitive adaptive metropolis-hastings for probabilistic programs D Tolpin, JW van de Meent, B Paige, F Wood Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015	13	2015
Methods and systems for rendering electronic data D Tolpin US Patent 7,024,621, 2006	12	2006
Methods for rendering footnotes D Tolpin US Patent 6,971,062, 2005	12	2005
Advanced computer system drift detection OM Lahav, RC Johnson, D Tolpin US Patent 10,445,163, 2019	11	2019
Rational deployment of CSP heuristics D Tolpin, SE Shimony arXiv preprint arXiv:1104.1924, 2011	11	2011
Advanced techniques for machine learning using sample comparisons D Tolpin, BH Myara, M Dymshits US Patent 11,687,769, 2023	9	2023
Deployable Probabilistic Programming D Tolpin https://arxiv.org/abs/1906.11199, 2019	9	2019
Session Analysis Using Plan Recognition R Mirsky, Y Gal, D Tolpin https://arxiv.org/abs/1706.06328, 2017	9	2017

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