Alon Gonen
Alon Gonen
Verified email at cs.princeton.edu - Homepage
TitleCited byYear
Large-scale convex minimization with a low-rank constraint
S Shalev-Shwartz, A Gonen, O Shamir
arXiv preprint arXiv:1106.1622, 2011
1242011
Strongly adaptive online learning
A Daniely, A Gonen, S Shalev-Shwartz
International Conference on Machine Learning, 1405-1411, 2015
472015
Efficient active learning of halfspaces: an aggressive approach
A Gonen, S Sabato, S Shalev-Shwartz
The Journal of Machine Learning Research 14 (1), 2583-2615, 2013
38*2013
The sample complexity of subspace learning with partial information
A Gonen, D Rosenbaum, Y Eldar, S Shalev-Shwartz
The Journal of Machine Learning Research 17, 1821--1841, 2014
26*2014
Solving ridge regression using sketched preconditioned svrg
A Gonen, F Orabona, S Shalev-Shwartz
International Conference on Machine Learning, 1397-1405, 2016
202016
Fast rates for empirical risk minimization of strict saddle problems
A Gonen, S Shalev-Shwartz
Proceedings of the 30th Conference on Learning Theory, 1043-1063, 2017
172017
Faster sgd using sketched conditioning
A Gonen, S Shalev-Shwartz
arXiv preprint arXiv:1506.02649, 2015
132015
Average stability is invariant to data preconditioning. implications to exp-concave empirical risk minimization
A Gonen, S Shalev-Shwartz
Journal of Machine Learning Research 18, 222:1--222:13, 2018
9*2018
Learning in non-convex games with an optimization oracle
N Agarwal, A Gonen, E Hazan
Conference on Learning Theory, 18-29, 2019
7*2019
Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis
A Gonen, R Gilad-Bachrach
arXiv preprint arXiv:1710.10556, 2017
22017
Private Learning Implies Online Learning: An Efficient Reduction
A Gonen, S Moran, E Hazan
arXiv preprint arXiv:1905.11311, 2019
2019
Effective Dimension of Exp-concave Optimization
N Agarwal, A Gonen
arXiv preprint arXiv:1805.08268, 2018
2018
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Articles 1–12