Shai Shalev-Shwartz 个人学术档案

引用次数

	总计	2019 年至今
引用	35117	21818
h 指数	63	54
i10 指数	147	126

4300

2150

1075

3225

200720082009201020112012201320142015201620172018201920202021202220232024154 212 404 501 611 767 1046 1253 1469 1862 2057 2581 3086 3739 3850 4147 4210 2773

开放获取的出版物数量

查看全部

16 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Amnon ShashuaProfessor of Computer Science, the Hebrew University of Jerusalem在 cs.huji.ac.il 的电子邮件经过验证
Ohad ShamirWeizmann Institute of Science在 weizmann.ac.il 的电子邮件经过验证
Nathan SrebroProfessor, TTIC and University of Chicago在 ttic.edu 的电子邮件经过验证
Shai Ben-DavidUniverity of Waterloo, Canada在 uwaterloo.ca 的电子邮件经过验证
Ofer DekelMicrosoft Research在 microsoft.com 的电子邮件经过验证
Amit DanielyHebrew University在 mail.huji.ac.il 的电子邮件经过验证
Tong ZhangUIUC在 tongzhang-ml.org 的电子邮件经过验证
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, Technion在 technion.ac.il 的电子邮件经过验证
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological Institute在 ttic.edu 的电子邮件经过验证
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of Michigan在 umich.edu 的电子邮件经过验证
Roi LivniTel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector Institute在 mcmaster.ca 的电子邮件经过验证
Sham M KakadeHarvard University在 seas.harvard.edu 的电子邮件经过验证
Amir GlobersonTel Aviv University在 post.tau.ac.il 的电子邮件经过验证
Tushar ChandraGoogle在 google.com 的电子邮件经过验证
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di Milano在 unimi.it 的电子邮件经过验证
Elad HazanProfessor at Princeton University and Director Google AI Princeton在 princeton.edu 的电子邮件经过验证
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of Technology在 technion.ac.il 的电子邮件经过验证
Nati LinialProfessor of Computer Science, The Hebrew University of Jerusalem在 cs.huji.ac.il 的电子邮件经过验证

关注

Shai Shalev-Shwartz

The Hebrew University

在 cs.huji.ac.il 的电子邮件经过验证 - 首页

Machine Learning Learning Theory Online Learning Self-driving Cars


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8002	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	8002	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	2867	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	2603	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	2517	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	1712	2008
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013	1213	2013
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	1070	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	1002	2017
Decoupling" when to update" from" how to update" E Malach, S Shalev-Shwartz Advances in neural information processing systems 30, 2017	626	2017
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	607	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	545	2010
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
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization S Shalev-Shwartz, T Zhang International conference on machine learning, 64-72, 2014	515	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	415	2004
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	413	2010
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009	367	2009
Online learning: Theory, algorithms, and applications S Shalev-Shwartz Hebrew University, 2007	367	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	285	2020

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用