Shai Shalev-Shwartz

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	All	Since 2016
Citations	20952	14081
h-index	54	45
i10-index	112	96

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemVerified email at cs.huji.ac.il
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Joseph (Yossi) KeshetProfessor, Dept. of Computer Science, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Amit DanielyHebrew UniversityVerified email at mail.huji.ac.il
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Alon GonenOrCamVerified email at orcam.com
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Roi LivniTel Aviv UniversityVerified email at tauex.tau.ac.il
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Sivan SabatoBen Gurion University of the NegevVerified email at cs.bgu.ac.il
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Tushar ChandraGoogleVerified email at google.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu

Shai Shalev-Shwartz

The Hebrew University

Verified email at cs.huji.ac.il - Homepage

Machine Learning Learning Theory Online Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	3121	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	3121	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	2408	2011
Online passive aggressive algorithms K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer	2064	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and trends in Machine Learning 4 (2), 107-194, 2011	1481	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	1293	2008
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (2), 2013	974	2013
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	442	2011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	435	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	379	2014
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	350	2016
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	314	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	311	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	304	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	301	2010
Online learning: Theory, algorithms, and applications S Shalev-Shwartz, Y Singer	269	2007
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT, 2009	239	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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