Amit Daniely
Amit Daniely
Verified email at mail.huji.ac.il - Homepage
TitleCited byYear
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
1042016
Complexity theoretic limitations on learning DNF’s
A Daniely, S Shalev-Shwartz
Conference on Learning Theory, 815-830, 2016
692016
From average case complexity to improper learning complexity
A Daniely, N Linial, S Shalev-Shwartz
arXiv preprint arXiv:1311.2272, 2013
642013
Complexity theoretic limitations on learning halfspaces
A Daniely
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
572016
SGD learns the conjugate kernel class of the network
A Daniely
Advances in Neural Information Processing Systems, 2422-2430, 2017
532017
Multiclass learnability and the erm principle
A Daniely, S Sabato, S Ben-David, S Shalev-Shwartz
The Journal of Machine Learning Research 16 (1), 2377-2404, 2015
532015
Strongly adaptive online learning
A Daniely, A Gonen, S Shalev-Shwartz
International Conference on Machine Learning, 1405-1411, 2015
512015
On the practically interesting instances of MAXCUT
Y Bilu, A Daniely, N Linial, M Saks
arXiv preprint arXiv:1205.4893, 2012
342012
Clustering is difficult only when it does not matter
A Daniely, N Linial, M Saks
arXiv preprint arXiv:1205.4891, 2012
342012
Optimal learners for multiclass problems
A Daniely, S Shalev-Shwartz
arXiv preprint arXiv:1405.2420, 2014
312014
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
312013
Multiclass learning approaches: A theoretical comparison with implications
A Daniely, S Sabato, SS Shwartz
Advances in Neural Information Processing Systems, 485-493, 2012
262012
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
252014
A PTAS for agnostically learning halfspaces
A Daniely
Conference on Learning Theory, 484-502, 2015
212015
Depth separation for neural networks
A Daniely
arXiv preprint arXiv:1702.08489, 2017
172017
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
152015
The complexity of learning halfspaces using generalized linear methods
A Daniely, N Linial, S Shalev-Shwartz
arXiv preprint arXiv:1211.0616, 2012
112012
Learning without interaction requires separation
A Daniely, V Feldman
arXiv preprint arXiv:1809.09165, 2018
82018
The price of bandit information in multiclass online classification
A Daniely, T Helbertal
Conference on Learning Theory, 93-104, 2013
72013
Random features for compositional kernels
A Daniely, R Frostig, V Gupta, Y Singer
arXiv preprint arXiv:1703.07872, 2017
62017
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Articles 1–20