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Or Sheffet

12 papers · 2014–2024 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (26) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🐺 Lone Wolf (3) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (12) πŸ—ƒοΈ Keyword Collector (52)

Conferences

NIPS (5) ICML (4) AISTATS (2) ALT (1)

Top co-authors

Avrim Blum (1) Aravindan Vijayaraghavan (1) Marco Gaboardi (1) Daniel Omer (1) Jonathan Ullman (1) Bar Mahpud (1) Touqir Sajed (1) Refael Kohen (1) Pranjal Awasthi (1) Gautam Kamath (1)

Research topics

Differential Privacy (5) Statistics (1)

Keywords

differential privacy (10) sample complexity (3) ridge regression (2) stochastic optimization (2) confidence interval (2) johnson-lindenstrauss transform (2) linear regression (2) k-means clustering (1) tensor decomposition (1) convex optimization (1) mean estimation (1) maximum likelihood (1) hypothesis testing (1) statistical testing (1) mallows model (1) transfer learning (1) high-dimensional learning (1) distribution shift (1) exploration exploitation (1) parameter estimation (1)

Papers

Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem NIPS 2022
Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022
Private k-Means Clustering with Stability Assumptions AISTATS 2020
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule ICML 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NIPS 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Differentially Private Contextual Linear Bandits NIPS 2018
Locally Private Hypothesis Testing ICML 2018
Differentially Private Ordinary Least Squares ICML 2017
Learning Mixtures of Ranking Models NIPS 2014