Yishay Mansour - Google Scholar

Citata da

	Tutte	Dal 2015
Citazioni	24065	11212
Indice H	71	46
i10-index	231	144

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaEmail verificata su cis.upenn.edu
Eyal Even-DarFinalEmail verificata su final.co.il
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoEmail verificata su ttic.edu
Eyal KushilevitzComputer Science Department, TechnionEmail verificata su cs.technion.ac.il
Maria-Florina BalcanAssociate Professor, School of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemEmail verificata su cs.huji.ac.il
Haim KaplanSchool of Computer Science, Tel Aviv UniversityEmail verificata su post.tau.ac.il
Yehuda AfekTel Aviv UniversityEmail verificata su post.tau.ac.il
Shay KuttenProfessor, TechnionEmail verificata su technion.ac.il
Shie MannorProfessor of Electrical Engineering, TechnionEmail verificata su technion.ac.il
David McAllesterProfessor, Toyota Technological Institute at ChicagoEmail verificata su ttic.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesEmail verificata su google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoEmail verificata su unimi.it
Robert SchapireMicrosoft ResearchEmail verificata su microsoft.com
avinatan hassidimEmail verificata su biu.ac.il
Michal FeldmanProfessor of Computer Science, Tel Aviv UniversityEmail verificata su post.tau.ac.il
Claudio GentileGoogle Research, New York, USAEmail verificata su google.com
Yoav FreundUCSDEmail verificata su eng.ucsd.edu
Hugo KrawczykIBM ResearchEmail verificata su us.ibm.com
Ilan KremerHebrew University and University of WarwickEmail verificata su huji.ac.il

Yishay Mansour

Tel Aviv University

Email verificata su tau.ac.il - Home page

machine leaning reinforcement learning algorithmic game theory communication networks online algorithms


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	3502	1999
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	741	1993
Perseus: Randomized point-based value iteration for POMDPs MTJ Spaan, N Vlassis Journal of artificial intelligence research 24, 195-220, 2005	730	2005
A sparse sampling algorithm for near-optimal planning in large Markov decision processes M Kearns, Y Mansour, AY Ng Machine learning 49 (2-3), 193-208, 2002	612	2002
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour SIAM Journal on Computing 22 (6), 1331-1348, 1993	492	1993
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	485	1993
A learned representation for artistic style V Dumoulin, J Shlens, M Kudlur arXiv preprint arXiv:1610.07629, 2016	460	2016
The option-critic architecture PL Bacon, J Harb, D Precup Thirty-First AAAI Conference on Artificial Intelligence, 2017	430	2017
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	405	2009
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 (Jun), 1079-1105, 2006	381	2006
Learning rates for Q-learning E Even-Dar, Y Mansour Journal of machine learning Research 5 (Dec), 1-25, 2003	344	2003
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10 (3), 151-161, 1997	344*	1997
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems, 1041-1048, 2009	324	2009
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	322	2002
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	318*	1998
Nash Convergence of Gradient Dynamics in General-Sum Games. SP Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	303	2000
Fpnn: Field probing neural networks for 3d data Y Li, S Pirk, H Su, CR Qi, LJ Guibas Advances in Neural Information Processing Systems, 307-315, 2016	300*	2016
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	289	1999
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	287	1994
An experimental and theoretical comparison of model selection methods M Kearns, Y Mansour, AY Ng, D Ron Machine Learning 27 (1), 7-50, 1997	263	1997

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