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Shai Shalev-Shwartz
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Year
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
77312014
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
77312014
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
28432007
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
25802006
Online learning and online convex optimization
S Shalev-Shwartz
Foundations and Trends® in Machine Learning 4 (2), 107-194, 2012
24892012
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
16862008
Stochastic dual coordinate ascent methods for regularized loss minimization.
S Shalev-Shwartz, T Zhang
Journal of Machine Learning Research 14 (1), 2013
12102013
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1610.03295, 2016
10322016
On a formal model of safe and scalable self-driving cars
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1708.06374, 2017
9712017
Decoupling" when to update" from" how to update"
E Malach, S Shalev-Shwartz
Advances in neural information processing systems 30, 2017
6102017
On the computational efficiency of training neural networks
R Livni, S Shalev-Shwartz, O Shamir
Advances in neural information processing systems 27, 2014
5932014
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
5272010
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
S Shalev-Shwartz, T Zhang
International conference on machine learning, 64-72, 2014
5152014
Stochastic methods for l1 regularized loss minimization
S Shalev-Shwartz, A Tewari
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
5142009
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
4102004
Composite objective mirror descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT 10, 14-26, 2010
4082010
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT 2 (4), 5, 2009
3652009
Online learning: Theory, algorithms, and applications
S Shalev-Shwartz
Hebrew University, 2007
3642007
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
3412008
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
2772017
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Articles 1–20