Yishay Mansour

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Coauteurs

Eyal Even-DarFinalAdresse e-mail validée de final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesAdresse e-mail validée de google.com
Eyal KushilevitzComputer Science Department, TechnionAdresse e-mail validée de cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemAdresse e-mail validée de cs.huji.ac.il
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoAdresse e-mail validée de unimi.it
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchAdresse e-mail validée de technion.ac.il
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Shay KuttenProfessor, TechnionAdresse e-mail validée de technion.ac.il
Yehuda AfekTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
avinatan hassidimAdresse e-mail validée de biu.ac.il
Robert SchapireMicrosoft ResearchAdresse e-mail validée de microsoft.com
Claudio GentileGoogle Research, New York, USAAdresse e-mail validée de google.com
Hugo KrawczykAlgorand FoundationAdresse e-mail validée de algorand.foundation
Sham M KakadeHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Yoav FreundUCSDAdresse e-mail validée de eng.ucsd.edu
S MuthukrishnanRutgers UnivAdresse e-mail validée de cs.rutgers.edu

Suivre

Yishay Mansour

Tel Aviv University

Adresse e-mail validée de tauex.tau.ac.il - Page d'accueil

machine learning reinforcement learning algorithmic game theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	5532	1999
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	804	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	708	2002
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	588	2009
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour SIAM Journal on Computing 22 (6), 1331-1348, 1993	550	1993
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	541	1993
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	534	2006
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	490	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	461	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	415	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10 (3), 151-161, 1997	408*	1997
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	350	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	336*	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	318	1994
On the boosting ability of top–down decision tree learning algorithms M Kearns, Y Mansour Journal of Computer and System Sciences 58 (1), 109-128, 1999	308	1999
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	297	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	297	1994
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	290	2010
An experimental and theoretical comparison of model selection methods M Kearns, Y Mansour, AY Ng, D Ron Machine Learning 27 (1), 7-50, 1997	273	1997
An information-theoretic analysis of hard and soft assignment methods for clustering M Kearns, Y Mansour, AY Ng Learning in graphical models, 495-520, 1998	272	1998

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