Yishay Mansour

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Eyal Even-DarFinalVerified email at final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityVerified email at post.tau.ac.il
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Eyal KushilevitzComputer Science Department, TechnionVerified email at cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemVerified email at cs.huji.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Shay KuttenProfessor, TechnionVerified email at technion.ac.il
Yehuda AfekTel Aviv UniversityVerified email at post.tau.ac.il
avinatan hassidimVerified email at biu.ac.il
Claudio GentileGoogle Research, New York, USAVerified email at google.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Ilan KremerHebrew University and University of WarwickVerified email at huji.ac.il
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Hugo KrawczykAlgorand FoundationVerified email at algorand.foundation
Yoav FreundUCSDVerified email at eng.ucsd.edu

Yishay Mansour

Tel Aviv University

Verified email at tauex.tau.ac.il - Homepage

machine learning reinforcement learning algorithmic game theory


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Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	6061	1999
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	824	1993
A sparse sampling algorithm for near-optimal planning in large Markov decision processes M Kearns, Y Mansour, AY Ng Machine learning 49 (2), 193-208, 2002	736	2002
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	644	2009
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. E Even-Dar, S Mannor, Y Mansour, S Mahadevan Journal of machine learning research 7 (6), 2006	586	2006
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour Proceedings of the twenty-third annual ACM symposium on Theory of computing …, 1991	570	1991
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	547	1993
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	513	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	490	2008
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour International Conference on Computational Learning Theory, 255-270, 2002	437	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10 (3), 151-161, 1997	420*	1997
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	355	2000
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	340*	1998
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	326	1994
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	321	2010
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	314	1996
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	306	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	306	1994
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	284	2014
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	282	2020

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