Shai Shalev-Shwartz

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemPreverjeni e-poštni naslov na cs.huji.ac.il
Ohad ShamirWeizmann Institute of SciencePreverjeni e-poštni naslov na weizmann.ac.il
Nathan SrebroProfessor, TTIC and University of ChicagoPreverjeni e-poštni naslov na ttic.edu
Shai Ben-DavidUniverity of Waterloo, CanadaPreverjeni e-poštni naslov na uwaterloo.ca
Ofer DekelMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Amit DanielyHebrew UniversityPreverjeni e-poštni naslov na mail.huji.ac.il
Tong ZhangUIUCPreverjeni e-poštni naslov na tongzhang-ml.org
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionPreverjeni e-poštni naslov na technion.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstitutePreverjeni e-poštni naslov na ttic.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganPreverjeni e-poštni naslov na umich.edu
Roi LivniTel Aviv UniversityPreverjeni e-poštni naslov na tauex.tau.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstitutePreverjeni e-poštni naslov na mcmaster.ca
Sham M KakadeHarvard UniversityPreverjeni e-poštni naslov na seas.harvard.edu
Amir GlobersonTel Aviv UniversityPreverjeni e-poštni naslov na post.tau.ac.il
Tushar ChandraGooglePreverjeni e-poštni naslov na google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoPreverjeni e-poštni naslov na unimi.it
Elad HazanProfessor at Princeton University and Director Google AI PrincetonPreverjeni e-poštni naslov na princeton.edu
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of TechnologyPreverjeni e-poštni naslov na technion.ac.il
Nati LinialProfessor of Computer Science, The Hebrew University of JerusalemPreverjeni e-poštni naslov na cs.huji.ac.il

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Shai Shalev-Shwartz

The Hebrew University

Preverjeni e-poštni naslov na cs.huji.ac.il - Domača stran

Machine Learning Learning Theory Online Learning Self-driving Cars


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8197	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8197	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	2876	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	2622	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	2547	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	1726	2008
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013	1225	2013
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	1101	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	1027	2017
Decoupling" when to update" from" how to update" E Malach, S Shalev-Shwartz Advances in neural information processing systems 30, 2017	643	2017
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	617	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	551	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	517	2009
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
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	415	2010
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009	374	2009
Online learning: Theory, algorithms, and applications S Shalev-Shwartz Hebrew University, 2007	369	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	339	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	296	2020

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