Shai Shalev-Shwartz

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemEmail yang diverifikasi di cs.huji.ac.il
Ohad ShamirWeizmann Institute of ScienceEmail yang diverifikasi di weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoEmail yang diverifikasi di ttic.edu
Shai Ben-DavidUniverity of Waterloo, CanadaEmail yang diverifikasi di uwaterloo.ca
Ofer DekelMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Amit DanielyHebrew UniversityEmail yang diverifikasi di mail.huji.ac.il
Tong ZhangUIUCEmail yang diverifikasi di tongzhang-ml.org
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionEmail yang diverifikasi di technion.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteEmail yang diverifikasi di ttic.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganEmail yang diverifikasi di umich.edu
Roi LivniTel Aviv UniversityEmail yang diverifikasi di tauex.tau.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityEmail yang diverifikasi di stanford.edu
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstituteEmail yang diverifikasi di mcmaster.ca
Sham M KakadeHarvard UniversityEmail yang diverifikasi di seas.harvard.edu
Amir GlobersonTel Aviv UniversityEmail yang diverifikasi di post.tau.ac.il
Tushar ChandraGoogleEmail yang diverifikasi di google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail yang diverifikasi di unimi.it
Elad HazanProfessor at Princeton University and Director Google AI PrincetonEmail yang diverifikasi di princeton.edu
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of TechnologyEmail yang diverifikasi di technion.ac.il
Nati LinialProfessor of Computer Science, The Hebrew University of JerusalemEmail yang diverifikasi di cs.huji.ac.il

Ikuti

Shai Shalev-Shwartz

The Hebrew University

Email yang diverifikasi di cs.huji.ac.il - Beranda

Machine Learning Learning Theory Online Learning Self-driving Cars


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8403	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8403	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	2888	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	2640	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	2588	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	1744	2008
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013	1232	2013
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	1133	2016
On a formal model of safe and scalable self-driving cars S Shalev-Shwartz arXiv preprint arXiv:1708.06374, 2017	1045	2017
Decoupling" when to update" from" how to update" E Malach, S Shalev-Shwartz Advances in neural information processing systems 30, 2017	663	2017
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	624	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	564	2010
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	520	2014
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	520	2009
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	422	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	416	2004
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009	382	2009
Online learning: Theory, algorithms, and applications S Shalev-Shwartz Hebrew University, 2007	372	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	340	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	308	2020

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