Alon Gonen

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 19

Top Topics

Sample Complexity

Ridge Regression

Subspace Learning

Empirical Risk Minimization

Top Venues

J. Mach. Learn. Res.

Publications

Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting Simple Learners. TheoretiCS 2 (2023)
Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting simple learners. STOC (2021)
Alon Gonen, Shachar Lovett, Michal Moshkovitz
Towards a combinatorial characterization of bounded memory learning. CoRR (2020)
Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting Simple Learners. CoRR (2020)
Alon Gonen, Shachar Lovett, Michal Moshkovitz
Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS (2020)
Naman Agarwal, Alon Gonen, Elad Hazan
Learning in Non-convex Games with an Optimization Oracle. COLT (2019)
Alon Gonen, Elad Hazan, Shay Moran
Private Learning Implies Online Learning: An Efficient Reduction. CoRR (2019)
Alon Gonen, Elad Hazan, Shay Moran
Private Learning Implies Online Learning: An Efficient Reduction. NeurIPS (2019)
Naman Agarwal, Alon Gonen
Effective Dimension of Exp-concave Optimization. CoRR (2018)
Alon Gonen, Elad Hazan
Learning in Non-convex Games with an Optimization Oracle. CoRR (2018)
Alon Gonen, Shai Shalev-Shwartz
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems. CoRR (2017)
Alon Gonen, Shai Shalev-Shwartz
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems. COLT (2017)
Alon Gonen, Shai Shalev-Shwartz
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization. J. Mach. Learn. Res. 18 (2017)
Alon Gonen, Ran Gilad-Bachrach
Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis. CoRR (2017)
Alon Gonen, Shai Shalev-Shwartz
Tightening the Sample Complexity of Empirical Risk Minimization via Preconditioned Stability. CoRR (2016)
Alon Gonen, Shai Shalev-Shwartz
Faster Low-rank Approximation using Adaptive Gap-based Preconditioning. CoRR (2016)
Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz
Solving Ridge Regression using Sketched Preconditioned SVRG. ICML (2016)
Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz
Solving Ridge Regression using Sketched Preconditioned SVRG. CoRR (2016)
Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
Subspace Learning with Partial Information. J. Mach. Learn. Res. 17 (2016)
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
Strongly Adaptive Online Learning. ICML (2015)
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
Strongly Adaptive Online Learning. CoRR (2015)
Alon Gonen, Shai Shalev-Shwartz
Faster SGD Using Sketched Conditioning. CoRR (2015)
Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
The Sample Complexity of Subspace Learning with Partial Information. CoRR (2014)
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Efficient Active Learning of Halfspaces: an Aggressive Approach. ICML (1) (2013)
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Efficient active learning of halfspaces: an aggressive approach. J. Mach. Learn. Res. 14 (1) (2013)
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Efficient Pool-Based Active Learning of Halfspaces CoRR (2012)
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
Large-Scale Convex Minimization with a Low-Rank Constraint. ICML (2011)
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Active Learning Halfspaces under Margin Assumptions CoRR (2011)
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
Large-Scale Convex Minimization with a Low-Rank Constraint CoRR (2011)