Sheffet, Or

15 publications

NeurIPS 2025 A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input Bar Mahpud, Or Sheffet

NeurIPS 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications Daniel Omer, Or Sheffet

NeurIPS 2022 A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem Bar Mahpud, Or Sheffet

ICML 2022 Transfer Learning in Differential Privacy’s Hybrid-Model Refael Kohen, Or Sheffet

AISTATS 2020 Private K-Means Clustering with Stability Assumptions Moshe Shechner, Or Sheffet, Uri Stemmer

ICML 2019 An Optimal Private Stochastic-MAB Algorithm Based on Optimal Private Stopping Rule Touqir Sajed, Or Sheffet

NeurIPS 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan Ullman

AISTATS 2019 Locally Private Mean Estimation: $z$-Test and Tight Confidence Intervals Marco Gaboardi, Ryan Rogers, Or Sheffet

ALT 2019 Old Techniques in Differentially Private Linear Regression Or Sheffet

NeurIPS 2018 Differentially Private Contextual Linear Bandits Roshan Shariff, Or Sheffet

ICML 2018 Locally Private Hypothesis Testing Or Sheffet

ICML 2017 Differentially Private Ordinary Least Squares Or Sheffet

NeurIPS 2014 Learning Mixtures of Ranking Models Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan

ICML 2012 Predicting Consumer Behavior in Commerce Search Or Sheffet, Nina Mishra, Samuel Ieong

COLT 2010 Improved Guarantees for Agnostic Learning of Disjunctions Pranjal Awasthi, Avrim Blum, Or Sheffet