Shai Shalev-Shwartz - Google Scholar Citations

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	All	Since 2015
Citations	16844	11765
h-index	51	43
i10-index	102	87

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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
Ambuj Tewari (अम्बुज तिवारी)Associate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Amit DanielyHebrew UniversityVerified email at mail.huji.ac.il
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
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Tushar ChandraGoogleVerified email at google.com
Elad HazanProfessor at Princeton University and Co-Director Google AI PrincetonVerified email at cs.princeton.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Nati LinialProfessor of Computer Science, The Hebrew University of JerusalemVerified email at cs.huji.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
Pegasos: Primal estimated sub-gradient solver for svm S Shalev-Shwartz, Y Singer, N Srebro, A Cotter Mathematical programming 127 (1), 3-30, 2011	2156	2011
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	2071	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	2071	2014
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	1847	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	1146	2012
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	1116	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	835	2013
Stochastic methods for l1-regularized loss minimization S Shalev-Shwartz, A Tewari Journal of Machine Learning Research 12 (Jun), 1865-1892, 2011	390	2011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International Conference on Machine Learning, 64-72, 2014	377	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	351	2004
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	280	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	280	2008
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems, 855-863, 2014	266	2014
Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan Journal of Machine Learning Research 11 (Oct), 2635-2670, 2010	230	2010
Online learning: Theory, algorithms, and applications S Shalev-Shwartz, Y Singer	229	2007
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	225	2016
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	191	2008
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT, 2009	189	2009
On a formal model of safe and scalable self-driving cars S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1708.06374, 2017	168	2017
Regularization techniques for learning with matrices SM Kakade, S Shalev-Shwartz, A Tewari Journal of Machine Learning Research 13 (Jun), 1865-1890, 2012	148	2012

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