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Alon Gonen
Alon Gonen
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Cited by
Cited by
Year
Strongly adaptive online learning
A Daniely, A Gonen, S Shalev-Shwartz
International Conference on Machine Learning, 1405-1411, 2015
1792015
Large-scale convex minimization with a low-rank constraint
S Shalev-Shwartz, A Gonen, O Shamir
arXiv preprint arXiv:1106.1622, 2011
1682011
Efficient active learning of halfspaces: an aggressive approach
A Gonen, S Sabato, S Shalev-Shwartz
International Conference on Machine Learning, 480-488, 2013
54*2013
Learning in non-convex games with an optimization oracle
N Agarwal, A Gonen, E Hazan
Conference on Learning Theory, 18-29, 2019
492019
Solving ridge regression using sketched preconditioned svrg
A Gonen, F Orabona, S Shalev-Shwartz
International conference on machine learning, 1397-1405, 2016
472016
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
45*2014
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
332017
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
27*2018
Private learning implies online learning: An efficient reduction
A Gonen, E Hazan, S Moran
Advances in Neural Information Processing Systems 32, 2019
202019
Boosting simple learners
N Alon, A Gonen, E Hazan, S Moran
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
162021
Faster sgd using sketched conditioning
A Gonen, S Shalev-Shwartz
arXiv preprint arXiv:1506.02649, 2015
162015
Towards a combinatorial characterization of bounded-memory learning
A Gonen, S Lovett, M Moshkovitz
Advances in Neural Information Processing Systems 33, 9028-9038, 2020
122020
Learning in non-convex games with an optimization oracle
A Gonen, E Hazan
arXiv preprint arXiv:1810.07362, 78, 2018
92018
Smooth sensitivity based approach for differentially private principal component analysis
A Gonen, R Gilad-Bachrach
arXiv preprint arXiv:1710.10556, 2017
52017
Smooth sensitivity based approach for differentially private principal component analysis
R Gilad-Bachrach, A Gonen
arXiv preprint arXiv:1710.10556, 2017
12017
Learning Perturbation-specific Cell Representations for Prediction of Transcriptional Response across Cellular Contexts
G Keinan, K Sayal, A Gonen, J Zhu, L Granovsky, J England
bioRxiv, 2023.03. 20.533433, 2023
2023
Optimal Sketching Bounds for Exp-concave Stochastic Minimization
N Agarwal, A Gonen
arXiv preprint arXiv:1805.08268, 2018
2018
Effective Dimension of Exp-concave Optimization
N Agarwal, A Gonen
arXiv preprint arXiv:1805.08268, 2018
2018
Gambling games
A Gonen, I Shotten
2002
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Articles 1–19