Shai Shalev-Shwartz

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemDirección de correo verificada de cs.huji.ac.il
Ohad ShamirWeizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoDirección de correo verificada de ttic.edu
Shai Ben-DavidUniverity of Waterloo, CanadaDirección de correo verificada de uwaterloo.ca
Ofer DekelMicrosoft ResearchDirección de correo verificada de microsoft.com
Tong ZhangHKUSTDirección de correo verificada de tongzhang-ml.org
Joseph (Yossi) KeshetProfessor, Dept. of Computer Science, Bar-Ilan UniversityDirección de correo verificada de cs.biu.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteDirección de correo verificada de ttic.edu
Amit DanielyHebrew UniversityDirección de correo verificada de mail.huji.ac.il
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganDirección de correo verificada de umich.edu
Alon GonenOrCamDirección de correo verificada de orcam.com
Sham M KakadeUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Roi LivniTel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Sivan SabatoBen Gurion University of the NegevDirección de correo verificada de cs.bgu.ac.il
Amir GlobersonTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoDirección de correo verificada de unimi.it
Tushar ChandraGoogleDirección de correo verificada de google.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonDirección de correo verificada de cs.princeton.edu
Daniel HsuColumbia UniversityDirección de correo verificada de cs.columbia.edu

Shai Shalev-Shwartz

The Hebrew University

Dirección de correo verificada de cs.huji.ac.il - Página principal

Machine Learning Learning Theory Online Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	3145	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	3145	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	2413	2011
Online passive aggressive algorithms K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer	2068	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and trends in Machine Learning 4 (2), 107-194, 2011	1489	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	1297	2008
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (2), 2013	976	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	436	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	351	2016
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	316	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	306	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	305	2010
Online learning: Theory, algorithms, and applications S Shalev-Shwartz, Y Singer	271	2007
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT, 2009	242	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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