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Improved Differentially Private Regression via Gradient Boosting

Improved Differentially Private Regression via Gradient Boosting

6 March 2023
Shuai Tang
Sergul Aydore
Michael Kearns
Saeyoung Rho
Aaron Roth
Yichen Wang
Yu-Xiang Wang
Zhiwei Steven Wu
    FedML
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Papers citing "Improved Differentially Private Regression via Gradient Boosting"

4 / 4 papers shown
Title
Private Gradient Descent for Linear Regression: Tighter Error Bounds and
  Instance-Specific Uncertainty Estimation
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin Brown
Krishnamurthy Dvijotham
Georgina Evans
Daogao Liu
Adam D. Smith
Abhradeep Thakurta
39
3
0
21 Feb 2024
The Normal Distributions Indistinguishability Spectrum and its
  Application to Privacy-Preserving Machine Learning
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
Yun Lu
Malik Magdon-Ismail
Yu Wei
Vassilis Zikas
29
0
0
03 Sep 2023
Better Private Linear Regression Through Better Private Feature
  Selection
Better Private Linear Regression Through Better Private Feature Selection
Travis Dick
Jennifer Gillenwater
Matthew Joseph
11
2
0
01 Jun 2023
The Role of Adaptive Optimizers for Honest Private Hyperparameter
  Selection
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Shubhankar Mohapatra
Sajin Sasy
Xi He
Gautam Kamath
Om Thakkar
114
32
0
09 Nov 2021
1