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Alon Gonen
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Journal Articles
- 2023
- [j4]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting Simple Learners. TheoretiCS 2 (2023) - 2017
- [j3]Alon Gonen, Shai Shalev-Shwartz:
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization. J. Mach. Learn. Res. 18: 222:1-222:13 (2017) - 2016
- [j2]Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz:
Subspace Learning with Partial Information. J. Mach. Learn. Res. 17: 52:1-52:21 (2016) - 2013
- [j1]Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz:
Efficient active learning of halfspaces: an aggressive approach. J. Mach. Learn. Res. 14(1): 2583-2615 (2013)
Conference and Workshop Papers
- 2021
- [c9]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting simple learners. STOC 2021: 481-489 - 2020
- [c8]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS 2020 - 2019
- [c7]Naman Agarwal, Alon Gonen, Elad Hazan:
Learning in Non-convex Games with an Optimization Oracle. COLT 2019: 18-29 - [c6]Alon Gonen, Elad Hazan, Shay Moran:
Private Learning Implies Online Learning: An Efficient Reduction. NeurIPS 2019: 8699-8709 - 2017
- [c5]Alon Gonen, Shai Shalev-Shwartz:
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems. COLT 2017: 1043-1063 - 2016
- [c4]Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz:
Solving Ridge Regression using Sketched Preconditioned SVRG. ICML 2016: 1397-1405 - 2015
- [c3]Amit Daniely, Alon Gonen, Shai Shalev-Shwartz:
Strongly Adaptive Online Learning. ICML 2015: 1405-1411 - 2013
- [c2]Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz:
Efficient Active Learning of Halfspaces: an Aggressive Approach. ICML (1) 2013: 480-488 - 2011
- [c1]Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir:
Large-Scale Convex Minimization with a Low-Rank Constraint. ICML 2011: 329-336
Informal and Other Publications
- 2020
- [i16]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting Simple Learners. CoRR abs/2001.11704 (2020) - [i15]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a combinatorial characterization of bounded memory learning. CoRR abs/2002.03123 (2020) - 2019
- [i14]Alon Gonen, Elad Hazan, Shay Moran:
Private Learning Implies Online Learning: An Efficient Reduction. CoRR abs/1905.11311 (2019) - 2018
- [i13]Naman Agarwal, Alon Gonen:
Effective Dimension of Exp-concave Optimization. CoRR abs/1805.08268 (2018) - [i12]Alon Gonen, Elad Hazan:
Learning in Non-convex Games with an Optimization Oracle. CoRR abs/1810.07362 (2018) - 2017
- [i11]Alon Gonen, Shai Shalev-Shwartz:
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems. CoRR abs/1701.04271 (2017) - [i10]Alon Gonen, Ran Gilad-Bachrach:
Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis. CoRR abs/1710.10556 (2017) - 2016
- [i9]Alon Gonen, Shai Shalev-Shwartz:
Tightening the Sample Complexity of Empirical Risk Minimization via Preconditioned Stability. CoRR abs/1601.04011 (2016) - [i8]Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz:
Solving Ridge Regression using Sketched Preconditioned SVRG. CoRR abs/1602.02350 (2016) - [i7]Alon Gonen, Shai Shalev-Shwartz:
Faster Low-rank Approximation using Adaptive Gap-based Preconditioning. CoRR abs/1607.02925 (2016) - 2015
- [i6]Amit Daniely, Alon Gonen, Shai Shalev-Shwartz:
Strongly Adaptive Online Learning. CoRR abs/1502.07073 (2015) - [i5]Alon Gonen, Shai Shalev-Shwartz:
Faster SGD Using Sketched Conditioning. CoRR abs/1506.02649 (2015) - 2014
- [i4]Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz:
The Sample Complexity of Subspace Learning with Partial Information. CoRR abs/1402.4844 (2014) - 2012
- [i3]Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz:
Efficient Pool-Based Active Learning of Halfspaces. CoRR abs/1208.3561 (2012) - 2011
- [i2]Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir:
Large-Scale Convex Minimization with a Low-Rank Constraint. CoRR abs/1106.1622 (2011) - [i1]Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz:
Active Learning Halfspaces under Margin Assumptions. CoRR abs/1112.1556 (2011)
Coauthor Index
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