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Subset-Based Instance Optimality in Private Estimation
v1v2v3 (latest)

Subset-Based Instance Optimality in Private Estimation

International Conference on Machine Learning (ICML), 2023
1 March 2023
Travis Dick
Alex Kulesza
Ziteng Sun
A. Suresh
ArXiv (abs)PDFHTMLGithub

Papers citing "Subset-Based Instance Optimality in Private Estimation"

6 / 6 papers shown
Dimension-free Private Mean Estimation for Anisotropic Distributions
Dimension-free Private Mean Estimation for Anisotropic DistributionsNeural Information Processing Systems (NeurIPS), 2024
Yuval Dagan
Michael I. Jordan
Xuelin Yang
Lydia Zakynthinou
Nikita Zhivotovskiy
430
2
0
01 Nov 2024
On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
V. A. Rameshwar
Anshoo Tandon
339
0
0
10 May 2024
Mean estimation in the add-remove model of differential privacy
Mean estimation in the add-remove model of differential privacy
Alex Kulesza
A. Suresh
Yuyan Wang
277
11
0
11 Dec 2023
The importance of feature preprocessing for differentially private
  linear optimization
The importance of feature preprocessing for differentially private linear optimizationInternational Conference on Learning Representations (ICLR), 2023
Ziteng Sun
A. Suresh
A. Menon
296
4
0
19 Jul 2023
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean
  Estimation
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean EstimationInformation Technology Convergence and Services (ITCS), 2023
Aleksandar Nikolov
Haohua Tang
329
5
0
31 Jan 2023
Algorithms for bounding contribution for histogram estimation under
  user-level privacy
Algorithms for bounding contribution for histogram estimation under user-level privacyInternational Conference on Machine Learning (ICML), 2022
Yuhan Liu
A. Suresh
Wennan Zhu
Peter Kairouz
Marco Gruteser
211
13
0
07 Jun 2022
1
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