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Optimal Private Median Estimation under Minimal Distributional
  Assumptions

Optimal Private Median Estimation under Minimal Distributional Assumptions

Neural Information Processing Systems (NeurIPS), 2020
12 November 2020
Christos Tzamos
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Ilias Zadik
ArXiv (abs)PDFHTMLGithub

Papers citing "Optimal Private Median Estimation under Minimal Distributional Assumptions"

15 / 15 papers shown
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
An Iterative Algorithm for Differentially Private kkk-PCA with Adaptive Noise
Johanna Düngler
Amartya Sanyal
184
1
0
14 Aug 2025
Fine-Tuning Large Language Models with User-Level Differential Privacy
Fine-Tuning Large Language Models with User-Level Differential Privacy
Zachary Charles
Arun Ganesh
Ryan McKenna
H. B. McMahan
Nicole Mitchell
Krishna Pillutla
Keith Rush
326
38
0
10 Jul 2024
Private graphon estimation via sum-of-squares
Private graphon estimation via sum-of-squaresSymposium on the Theory of Computing (STOC), 2024
Hongjie Chen
Jingqiu Ding
Tommaso dÓrsi
Yiding Hua
Chih-Hung Liu
David Steurer
401
2
0
18 Mar 2024
Differentially private projection-depth-based medians
Differentially private projection-depth-based medians
Kelly Ramsay
Dylan Spicker
343
2
0
12 Dec 2023
Differentially Private Medians and Interior Points for Non-Pathological
  Data
Differentially Private Medians and Interior Points for Non-Pathological DataInformation Technology Convergence and Services (ITCS), 2023
Maryam Aliakbarpour
Rose Silver
Thomas Steinke
Jonathan R. Ullman
195
4
0
22 May 2023
A Polynomial Time, Pure Differentially Private Estimator for Binary
  Product Distributions
A Polynomial Time, Pure Differentially Private Estimator for Binary Product DistributionsInternational Conference on Algorithmic Learning Theory (ALT), 2023
Vikrant Singhal
636
10
0
13 Apr 2023
Differentially private multivariate medians
Differentially private multivariate medians
Kelly Ramsay
Aukosh Jagannath
Shojaéddin Chenouri
307
4
0
12 Oct 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High
  Dimensions Under Minimal Assumptions
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal AssumptionsNeural Information Processing Systems (NeurIPS), 2022
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
FedML
343
8
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
424
32
0
27 May 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting
  Lemma
New Lower Bounds for Private Estimation and a Generalized Fingerprinting LemmaNeural Information Processing Systems (NeurIPS), 2022
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
FedML
560
36
0
17 May 2022
Bounded Space Differentially Private Quantiles
Bounded Space Differentially Private Quantiles
Daniel Alabi
Omri Ben-Eliezer
Anamay Chaturvedi
249
20
0
10 Jan 2022
Efficient Mean Estimation with Pure Differential Privacy via a
  Sum-of-Squares Exponential Mechanism
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
FedML
342
68
0
25 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded
  Gaussians
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
Gautam Kamath
Argyris Mouzakis
Vikrant Singhal
Thomas Steinke
Jonathan R. Ullman
372
44
0
08 Nov 2021
Non-parametric Differentially Private Confidence Intervals for the
  Median
Non-parametric Differentially Private Confidence Intervals for the Median
Joerg Drechsler
Ira Globus-Harris
Audra McMillan
Jayshree Sarathy
Adam D. Smith
369
17
0
18 Jun 2021
Differentially Private Quantiles
Differentially Private QuantilesInternational Conference on Machine Learning (ICML), 2021
Jennifer Gillenwater
Matthew Joseph
Alex Kulesza
416
41
0
16 Feb 2021
1
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