Shai Shalev-Shwartz

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	Tutte	Dal 2016
Citazioni	20573	13692
Indice H	53	45
i10-index	112	95

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemEmail verificata su cs.huji.ac.il
Ohad ShamirWeizmann Institute of ScienceEmail verificata su weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoEmail verificata su ttic.edu
Shai Ben-DavidUniverity of Waterloo, CanadaEmail verificata su uwaterloo.ca
Ofer DekelMicrosoft ResearchEmail verificata su microsoft.com
Tong ZhangHKUSTEmail verificata su tongzhang-ml.org
Joseph (Yossi) KeshetProfessor, Dept. of Computer Science, Bar-Ilan UniversityEmail verificata su cs.biu.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteEmail verificata su ttic.edu
Amit DanielyHebrew UniversityEmail verificata su mail.huji.ac.il
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganEmail verificata su umich.edu
Alon GonenOrCamEmail verificata su orcam.com
Sham M KakadeUniversity of WashingtonEmail verificata su cs.washington.edu
Roi LivniTel Aviv UniversityEmail verificata su tauex.tau.ac.il
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Sivan SabatoBen Gurion University of the NegevEmail verificata su cs.bgu.ac.il
Amir GlobersonTel Aviv UniversityEmail verificata su post.tau.ac.il
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoEmail verificata su unimi.it
Tushar ChandraGoogleEmail verificata su google.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonEmail verificata su cs.princeton.edu
Daniel HsuColumbia UniversityEmail verificata su cs.columbia.edu

Shai Shalev-Shwartz

The Hebrew University

Email verificata su cs.huji.ac.il - Home page

Machine Learning Learning Theory Online Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	2992	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	2992	2014
Pegasos: Primal estimated sub-gradient solver for svm S Shalev-Shwartz, Y Singer, N Srebro, A Cotter Mathematical programming 127 (1), 3-30, 2011	2394	2011
Online passive aggressive algorithms K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer	2053	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and trends in Machine Learning 4 (2), 107-194, 2011	1451	2011
Efficient projections onto the l₁-ball for learning in high dimensions J Duchi, S Shalev-Shwartz, Y Singer, T Chandra Proceedings of the 25th international conference on Machine learning, 272-279, 2008	1284	2008
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (2), 2013	965	2013
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	441	2011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	431	2014
Online and batch learning of pseudo-metrics S Shalev-Shwartz, Y Singer, AY Ng Proceedings of the twenty-first international conference on Machine learning, 94, 2004	392	2004
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir arXiv preprint arXiv:1410.1141, 2014	369	2014
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	342	2016
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	312	2010
SVM optimization: inverse dependence on training set size S Shalev-Shwartz, N Srebro Proceedings of the 25th international conference on Machine learning, 928-935, 2008	309	2008
On a formal model of safe and scalable self-driving cars S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1708.06374, 2017	295	2017
Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan The Journal of Machine Learning Research 11, 2635-2670, 2010	288	2010
Online learning: Theory, algorithms, and applications S Shalev-Shwartz, Y Singer	264	2007
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT, 2009	234	2009
The forgetron: A kernel-based perceptron on a budget O Dekel, S Shalev-Shwartz, Y Singer SIAM Journal on Computing 37 (5), 1342-1372, 2008	209	2008
Regularization techniques for learning with matrices SM Kakade, S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 13 (1), 1865-1890, 2012	172	2012

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