Yishay Mansour

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Eyal Even-DarFinalEmail confirmado em final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaEmail confirmado em cis.upenn.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityEmail confirmado em post.tau.ac.il
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoEmail confirmado em ttic.edu
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Email confirmado em google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail confirmado em unimi.it
David McAllesterProfessor, Toyota Technological Institute at ChicagoEmail confirmado em ttic.edu
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaEmail confirmado em technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionEmail confirmado em cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemEmail confirmado em cs.huji.ac.il
Shay KuttenProfessor, TechnionEmail confirmado em technion.ac.il
avinatan hassidimEmail confirmado em biu.ac.il
Yehuda AfekTel Aviv UniversityEmail confirmado em post.tau.ac.il
Claudio GentileGoogle Research, New York, USAEmail confirmado em google.com
Robert SchapireMicrosoft ResearchEmail confirmado em microsoft.com
Sham M KakadeHarvard UniversityEmail confirmado em seas.harvard.edu
Hugo KrawczykAmazon Web ServicesEmail confirmado em amazon.com
Ilan KremerHebrew University and University of WarwickEmail confirmado em huji.ac.il
Afshin RostamizadehGoogle ResearchEmail confirmado em google.com

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Yishay Mansour

Tel Aviv University

Email confirmado em tauex.tau.ac.il - Página inicial

machine learning reinforcement learning algorithmic game theory


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	9099	1999
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	943	2009
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	927	1993
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. E Even-Dar, S Mannor, Y Mansour Journal of machine learning research 7 (6), 2006	802	2006
A sparse sampling algorithm for near-optimal planning in large Markov decision processes M Kearns, Y Mansour, AY Ng Machine learning 49, 193-208, 2002	799	2002
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	680	2020
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	654	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	643	2008
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour Proceedings of the twenty-third annual ACM symposium on Theory of computing …, 1991	623	1991
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	580	1993
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour Computational Learning Theory: 15th Annual Conference on Computational …, 2002	553	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10, 151-161, 1997	523	1997
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	436	2010
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	393	2014
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	391	2000
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	360	2008
On the learnability of discrete distributions M Kearns, Y Mansour, D Ron, R Rubinfeld, RE Schapire, L Sellie Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994	360	1994
Weakly learning DNF and characterizing statistical query learning using Fourier analysis A Blum, M Furst, J Jackson, M Kearns, Y Mansour, S Rudich Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994	356	1994
On the boosting ability of top-down decision tree learning algorithms M Kearns, Y Mansour Proceedings of the twenty-eighth annual ACM symposium on Theory of computing …, 1996	350	1996
An Ω(D\log(N/D)) lower bound for broadcast in radio networks E Kushilevitz, Y Mansour SIAM journal on Computing 27 (3), 702-712, 1998	347*	1998

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