Amit Daniely
Amit Daniely
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Toward deeper understanding of neural networks: The power of initialization and a dual view on expressivity
A Daniely, R Frostig, Y Singer
Advances In Neural Information Processing Systems, 2253-2261, 2016
1602016
SGD learns the conjugate kernel class of the network
A Daniely
Advances in Neural Information Processing Systems, 2422-2430, 2017
862017
Complexity theoretic limitations on learning DNF’s
A Daniely, S Shalev-Shwartz
Conference on Learning Theory, 815-830, 2016
822016
From average case complexity to improper learning complexity
A Daniely, N Linial, S Shalev-Shwartz
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
762014
Complexity theoretic limitations on learning halfspaces
A Daniely
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
712016
Multiclass learnability and the erm principle
A Daniely, S Sabato, S Ben-David, S Shalev-Shwartz
Proceedings of the 24th Annual Conference on Learning Theory, 207-232, 2011
662011
Strongly adaptive online learning
A Daniely, A Gonen, S Shalev-Shwartz
International Conference on Machine Learning, 1405-1411, 2015
652015
On the practically interesting instances of MAXCUT
Y Bilu, A Daniely, N Linial, M Saks
arXiv preprint arXiv:1205.4893, 2012
372012
More data speeds up training time in learning halfspaces over sparse vectors
A Daniely, N Linial, S Shalev-Shwartz
Advances in Neural Information Processing Systems, 145-153, 2013
362013
Clustering is difficult only when it does not matter
A Daniely, N Linial, M Saks
arXiv preprint arXiv:1205.4891, 2012
362012
Optimal learners for multiclass problems
A Daniely, S Shalev-Shwartz
arXiv preprint arXiv:1405.2420, 2014
352014
Multiclass learning approaches: A theoretical comparison with implications
A Daniely, S Sabato, SS Shwartz
Advances in Neural Information Processing Systems, 485-493, 2012
302012
Learning economic parameters from revealed preferences
MF Balcan, A Daniely, R Mehta, R Urner, VV Vazirani
International Conference on Web and Internet Economics, 338-353, 2014
282014
A PTAS for agnostically learning halfspaces
A Daniely
Conference on Learning Theory, 484-502, 2015
262015
Depth separation for neural networks
A Daniely
arXiv preprint arXiv:1702.08489, 2017
252017
Inapproximability of truthful mechanisms via generalizations of the VC dimension
A Daniely, M Schapira, G Shahaf
Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015
182015
The complexity of learning halfspaces using generalized linear methods
A Daniely, N Linial, S Shalev-Shwartz
Conference on Learning Theory, 244-286, 2014
132014
Learning without interaction requires separation
A Daniely, V Feldman
arXiv preprint arXiv:1809.09165, 2018
92018
The price of bandit information in multiclass online classification
A Daniely, T Helbertal
Conference on Learning Theory, 93-104, 2013
92013
Random features for compositional kernels
A Daniely, R Frostig, V Gupta, Y Singer
arXiv preprint arXiv:1703.07872, 2017
82017
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