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
Amit DanielyHebrew UniversityDirección de correo verificada de mail.huji.ac.il
Tong ZhangUIUCDirección de correo verificada de tongzhang-ml.org
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionDirección de correo verificada de technion.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteDirección de correo verificada de ttic.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganDirección de correo verificada de umich.edu
Roi LivniTel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstituteDirección de correo verificada de mcmaster.ca
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Amir GlobersonTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Tushar ChandraGoogleDirección de correo verificada de google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoDirección de correo verificada de unimi.it
Elad HazanProfessor at Princeton University and Director Google AI PrincetonDirección de correo verificada de princeton.edu
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of TechnologyDirección de correo verificada de technion.ac.il
Nati LinialProfessor of Computer Science, The Hebrew University of JerusalemDirección de correo verificada de cs.huji.ac.il

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Shai Shalev-Shwartz

The Hebrew University

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

Machine Learning Learning Theory Online Learning Self-driving Cars


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	8146	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8146	2014
Pegasos: Primal estimated sub-gradient solver for svm S Shalev-Shwartz, Y Singer, N Srebro Proceedings of the 24th international conference on Machine learning, 807-814, 2007	2872	2007
Online passive-aggressive algorithms. K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer, MK Warmuth Journal of Machine Learning Research 7 (3), 2006	2621	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	2538	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	1722	2008
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013	1224	2013
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	1094	2016
On a formal model of safe and scalable self-driving cars S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1708.06374, 2017	1023	2017
Decoupling" when to update" from" how to update" E Malach, S Shalev-Shwartz Advances in neural information processing systems 30, 2017	638	2017
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	612	2014
Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan The Journal of Machine Learning Research 11, 2635-2670, 2010	548	2010
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	517	2014
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	516	2009
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	415	2010
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	415	2004
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009	370	2009
Online learning: Theory, algorithms, and applications S Shalev-Shwartz Hebrew University, 2007	368	2007
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	338	2008
Proving the lottery ticket hypothesis: Pruning is all you need E Malach, G Yehudai, S Shalev-Schwartz, O Shamir International Conference on Machine Learning, 6682-6691, 2020	293	2020

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