Alon Gonen - RankMe

29 papers A* 8Journal 20Unranked 1

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