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Shai Shalev-Shwartz
Shai Shalev-Shwartz
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Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
48332014
Understanding Machine Learning: From Theory to Algorithms
S Shalev-Shwartz, S Ben-David
Cambridge University Press, 2014
48332014
Pegasos: Primal estimated sub-gradient solver for svm
S Shalev-Shwartz, Y Singer, N Srebro, A Cotter
Mathematical programming 127 (1), 3-30, 2011
25762011
Online passive aggressive algorithms
K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer
22392006
Online learning and online convex optimization
S Shalev-Shwartz
Foundations and Trends« in Machine Learning 4 (2), 107-194, 2012
18872012
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
14562008
Stochastic dual coordinate ascent methods for regularized loss minimization.
S Shalev-Shwartz, T Zhang
Journal of Machine Learning Research 14 (1), 2013
10562013
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1610.03295, 2016
6052016
On a formal model of safe and scalable self-driving cars
S Shalev-Shwartz, S Shammah, A Shashua
arXiv preprint arXiv:1708.06374, 2017
5642017
On the computational efficiency of training neural networks
R Livni, S Shalev-Shwartz, O Shamir
Advances in neural information processing systems 27, 2014
4772014
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
S Shalev-Shwartz, T Zhang
International conference on machine learning, 64-72, 2014
4702014
Stochastic Methods for l1-regularized Loss Minimization
S Shalev-Shwartz, A Tewari
The Journal of Machine Learning Research 12, 1865-1892, 2011
4612011
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
3932004
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
3822010
Composite objective mirror descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT 10, 14-26, 2010
3462010
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
3182008
Decoupling" when to update" from" how to update"
E Malach, S Shalev-Shwartz
Advances in neural information processing systems 30, 2017
3132017
Online learning: Theory, algorithms, and applications
S Shalev-Shwartz, Y Singer
3002007
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT 2 (4), 5, 2009
2792009
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
2172017
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