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Differentially Private Regression with Unbounded Covariates

Differentially Private Regression with Unbounded Covariates

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
19 February 2022
Jason Milionis
Alkis Kalavasis
Eleni Psaroudaki
Stratis Ioannidis
ArXiv (abs)PDFHTML

Papers citing "Differentially Private Regression with Unbounded Covariates"

8 / 8 papers shown
Title
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
Shurong Lin
Aleksandra Slavković
Deekshith Reddy Bhoomireddy
SyDa
81
0
0
19 Oct 2025
Enhancing Differentially Private Linear Regression via Public Second-Moment
Enhancing Differentially Private Linear Regression via Public Second-Moment
Zilong Cao
Hai Zhang
59
0
0
25 Aug 2025
Distributed Differentially Private Data Analytics via Secure Sketching
Distributed Differentially Private Data Analytics via Secure SketchingIACR Cryptology ePrint Archive (IACR ePrint), 2024
Jakob Burkhardt
Hannah Keller
Claudio Orlandi
Chris Schwiegelshohn
FedML
306
1
0
30 Nov 2024
Optimal Learners for Realizable Regression: PAC Learning and Online
  Learning
Optimal Learners for Realizable Regression: PAC Learning and Online LearningNeural Information Processing Systems (NeurIPS), 2023
Idan Attias
Steve Hanneke
Alkis Kalavasis
Amin Karbasi
Grigoris Velegkas
248
23
0
07 Jul 2023
PRIMO: Private Regression in Multiple Outcomes
PRIMO: Private Regression in Multiple Outcomes
Seth Neel
209
0
0
07 Mar 2023
Near Optimal Private and Robust Linear Regression
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
203
10
0
30 Jan 2023
Easy Differentially Private Linear Regression
Easy Differentially Private Linear RegressionInternational Conference on Learning Representations (ICLR), 2022
Kareem Amin
Matthew Joseph
Mónica Ribero
Sergei Vassilvitskii
FedML
162
20
0
15 Aug 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
DP-PCA: Statistically Optimal and Differentially Private PCANeural Information Processing Systems (NeurIPS), 2022
Xiyang Liu
Weihao Kong
Prateek Jain
Sewoong Oh
290
30
0
27 May 2022
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