Shai Shalev-Shwartz
Shai Shalev-Shwartz
Verified email at cs.huji.ac.il - Homepage
Title
Cited by
Cited by
Year
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
31212014
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
31212014
Pegasos: Primal estimated sub-gradient solver for svm
S Shalev-Shwartz, Y Singer, N Srebro, A Cotter
Mathematical programming 127 (1), 3-30, 2011
24082011
Online passive aggressive algorithms
K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer
20642006
Online learning and online convex optimization
S Shalev-Shwartz
Foundations and trends in Machine Learning 4 (2), 107-194, 2011
14812011
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
12932008
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization.
S Shalev-Shwartz, T Zhang
Journal of Machine Learning Research 14 (2), 2013
9742013
Stochastic Methods for l1-regularized Loss Minimization
S Shalev-Shwartz, A Tewari
The Journal of Machine Learning Research 12, 1865-1892, 2011
4422011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
S Shalev-Shwartz, T Zhang
International conference on machine learning, 64-72, 2014
4352014
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
3922004
On the computational efficiency of training neural networks
R Livni, S Shalev-Shwartz, O Shamir
arXiv preprint arXiv:1410.1141, 2014
3792014
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1610.03295, 2016
3502016
Composite Objective Mirror Descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT, 14-26, 2010
3142010
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
3112008
On a formal model of safe and scalable self-driving cars
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1708.06374, 2017
3042017
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
3012010
Online learning: Theory, algorithms, and applications
S Shalev-Shwartz, Y Singer
2692007
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT, 2009
2392009
The forgetron: A kernel-based perceptron on a budget
O Dekel, S Shalev-Shwartz, Y Singer
SIAM Journal on Computing 37 (5), 1342-1372, 2008
2092008
Regularization techniques for learning with matrices
SM Kakade, S Shalev-Shwartz, A Tewari
The Journal of Machine Learning Research 13 (1), 1865-1890, 2012
1722012
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