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
21892014
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
21892014
Pegasos: Primal estimated sub-gradient solver for svm
S Shalev-Shwartz, Y Singer, N Srebro, A Cotter
Mathematical programming 127 (1), 3-30, 2011
21882011
Online passive-aggressive algorithms
K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer
Journal of Machine Learning Research 7 (Mar), 551-585, 2006
18662006
Online learning and online convex optimization
S Shalev-Shwartz
Foundations and Trends« in Machine Learning 4 (2), 107-194, 2012
11792012
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
11372008
Stochastic dual coordinate ascent methods for regularized loss minimization
S Shalev-Shwartz, T Zhang
Journal of Machine Learning Research 14 (Feb), 567-599, 2013
8522013
Stochastic methods for l1-regularized loss minimization
S Shalev-Shwartz, A Tewari
Journal of Machine Learning Research 12 (Jun), 1865-1892, 2011
3972011
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
S Shalev-Shwartz, T Zhang
International Conference on Machine Learning, 64-72, 2014
3862014
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
3522004
Composite Objective Mirror Descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT, 14-26, 2010
2862010
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
2822008
On the computational efficiency of training neural networks
R Livni, S Shalev-Shwartz, O Shamir
Advances in neural information processing systems, 855-863, 2014
2732014
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1610.03295, 2016
2422016
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
Journal of Machine Learning Research 11 (Oct), 2635-2670, 2010
2362010
Online learning: Theory, algorithms, and applications
S Shalev-Shwartz, Y Singer
2312007
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT, 2009
1942009
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
1922008
On a formal model of safe and scalable self-driving cars
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1708.06374, 2017
1852017
Regularization techniques for learning with matrices
SM Kakade, S Shalev-Shwartz, A Tewari
Journal of Machine Learning Research 13 (Jun), 1865-1890, 2012
1502012
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