Yishay Mansour

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Eyal Even-DarFinalDirección de correo verificada de final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Dirección de correo verificada de google.com
David McAllesterProfessor, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoDirección de correo verificada de unimi.it
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaDirección de correo verificada de technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionDirección de correo verificada de cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemDirección de correo verificada de cs.huji.ac.il
Shay KuttenProfessor, TechnionDirección de correo verificada de technion.ac.il
avinatan hassidimDirección de correo verificada de biu.ac.il
Yehuda AfekTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Claudio GentileGoogle Research, New York, USADirección de correo verificada de google.com
Robert SchapireMicrosoft ResearchDirección de correo verificada de microsoft.com
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Hugo KrawczykAmazon Web ServicesDirección de correo verificada de amazon.com
Ilan KremerHebrew University and University of WarwickDirección de correo verificada de huji.ac.il
Afshin RostamizadehGoogle ResearchDirección de correo verificada de google.com

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Yishay Mansour

Tel Aviv University

Dirección de correo verificada de tauex.tau.ac.il - Página principal

machine learning reinforcement learning algorithmic game theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	8893	1999
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	928	2009
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	924	1993
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	796	2002
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	787	2006
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	652	2020
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	648	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	628	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	621	1991
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	578	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	546	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10, 151-161, 1997	511	1997
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	425	2010
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	390	2000
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	380	2014
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	359	1994
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	358	2008
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	353	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	348	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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