Shai Shalev-Shwartz

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	All	Since 2015
Citations	19786	14532
h-index	53	47
i10-index	110	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
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
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Tushar ChandraGoogleVerified email at google.com
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of TechnologyVerified email at technion.ac.il

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	2848	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	2848	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	2312	2011
Online passive-aggressive algorithms K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer Journal of Machine Learning Research 7 (Mar), 551-585, 2006	2011	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and trends in Machine Learning 4 (2), 107-194, 2011	1386	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	1268	2008
Stochastic dual coordinate ascent methods for regularized loss minimization S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (Feb), 567-599, 2013	942	2013
Stochastic Methods for l₁-regularized Loss Minimization S Shalev-Shwartz, A Tewari The Journal of Machine Learning Research 12, 1865-1892, 2011	425	2011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	419	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	372	2004
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems, 855-863, 2014	344	2014
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	318	2016
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	301	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	298	2008
Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan The Journal of Machine Learning Research 11, 2635-2670, 2010	273	2010
On a formal model of safe and scalable self-driving cars S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1708.06374, 2017	261	2017
Online learning: Theory, algorithms, and applications S Shalev-Shwartz, Y Singer	253	2007
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT, 2009	228	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	203	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	163	2012

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