Shai Shalev-Shwartz 个人学术档案

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	总计	2019 年至今
引用	34494	21214
h 指数	62	53
i10 指数	146	124

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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

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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	7781	2014
Understanding Machine Learning: From Theory to Algorithms S Shalev-Shwartz, S Ben-David Cambridge University Press, 2014	7781	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	2849	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	2587	2006
Online learning and online convex optimization S Shalev-Shwartz Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012	2491	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	1698	2008
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013	1202	2013
Safe, multi-agent, reinforcement learning for autonomous driving S Shalev-Shwartz, S Shammah, A Shashua arXiv preprint arXiv:1610.03295, 2016	1045	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	978	2017
Decoupling" when to update" from" how to update" E Malach, S Shalev-Shwartz Advances in neural information processing systems 30, 2017	612	2017
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	598	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	530	2010
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
Stochastic methods for l₁ regularized loss minimization S Shalev-Shwartz, A Tewari Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	512	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	414	2004
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	409	2010
Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009	364	2009
Online learning: Theory, algorithms, and applications S Shalev-Shwartz Hebrew University, 2007	364	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	337	2008
SGD learns over-parameterized networks that provably generalize on linearly separable data A Brutzkus, A Globerson, E Malach, S Shalev-Shwartz arXiv preprint arXiv:1710.10174, 2017	283	2017

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