Ohad Shamir
Ohad Shamir
Verified email at weizmann.ac.il - Homepage
TitleCited byYear
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 9999, 2635-2670, 2010
380*2010
Optimal distributed online prediction using mini-batches
O Dekel, R Gilad-Bachrach, O Shamir, L Xiao
Journal of Machine Learning Research 13 (Jan), 165-202, 2012
3542012
Making gradient descent optimal for strongly convex stochastic optimization
A Rakhlin, O Shamir, K Sridharan
arXiv preprint arXiv:1109.5647, 2011
3542011
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
O Shamir, T Zhang
International Conference on Machine Learning, 71-79, 2013
2802013
The power of depth for feedforward neural networks
R Eldan, O Shamir
Conference on learning theory, 907-940, 2016
2732016
On the computational efficiency of training neural networks
R Livni, S Shalev-Shwartz, O Shamir
Advances in neural information processing systems, 855-863, 2014
2202014
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
Advances in neural information processing systems, 1647-1655, 2011
2032011
Adaptively learning the crowd kernel
O Tamuz, C Liu, S Belongie, O Shamir, AT Kalai
arXiv preprint arXiv:1105.1033, 2011
1992011
Communication-efficient distributed optimization using an approximate newton-type method
O Shamir, N Srebro, T Zhang
International conference on machine learning, 1000-1008, 2014
1802014
Learning to classify with missing and corrupted features
O Dekel, O Shamir, L Xiao
Machine learning 81 (2), 149-178, 2010
1512010
Vox Populi: Collecting High-Quality Labels from a Crowd.
O Dekel, O Shamir
COLT, 2009
1452009
Large-scale convex minimization with a low-rank constraint
S Shalev-Shwartz, A Gonen, O Shamir
arXiv preprint arXiv:1106.1622, 2011
1262011
Nonstochastic multi-armed bandits with graph-structured feedback
N Alon, N Cesa-Bianchi, C Gentile, S Mannor, Y Mansour, O Shamir
SIAM Journal on Computing 46 (6), 1785-1826, 2017
123*2017
A stochastic PCA and SVD algorithm with an exponential convergence rate
O Shamir
International Conference on Machine Learning, 144-152, 2015
1112015
Good learners for evil teachers
O Dekel, O Shamir
Proceedings of the 26th annual international conference on machine learning c, 2009
952009
Size-independent sample complexity of neural networks
N Golowich, A Rakhlin, O Shamir
arXiv preprint arXiv:1712.06541, 2017
872017
Efficient learning of generalized linear and single index models with isotonic regression
SM Kakade, V Kanade, O Shamir, A Kalai
Advances in Neural Information Processing Systems, 927-935, 2011
872011
Learning and generalization with the information bottleneck
O Shamir, S Sabato, N Tishby
Theoretical Computer Science 411 (29-30), 2696-2711, 2010
832010
On the quality of the initial basin in overspecified neural networks
I Safran, O Shamir
International Conference on Machine Learning, 774-782, 2016
792016
On the complexity of bandit and derivative-free stochastic convex optimization
O Shamir
Conference on Learning Theory, 3-24, 2013
792013
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Articles 1–20