Or Sheffet
12 papers · 2014–2024 · 4 conferences · across top CS/AI conferences
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Conferences
NIPS (5)
ICML (4)
AISTATS (2)
ALT (1)
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Research topics
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 Privacyβs 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