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Model Agnostic Differentially Private Causal Inference
v1v2 (latest)

Model Agnostic Differentially Private Causal Inference

26 May 2025
Christian Lebeda
Mathieu Even
Aurélien Bellet
Julie Josse
    FedML
ArXiv (abs)PDFHTML

Papers citing "Model Agnostic Differentially Private Causal Inference"

16 / 16 papers shown
Title
Differentially Private Learners for Heterogeneous Treatment Effects
Maresa Schröder
Valentyn Melnychuk
Stefan Feuerriegel
CML
153
2
0
05 Mar 2025
Differentially Private Covariate Balancing Causal Inference
Differentially Private Covariate Balancing Causal Inference
Yuki Ohnishi
Jordan Awan
36
2
0
18 Oct 2024
Hyperparameter Tuning for Causal Inference with Double Machine Learning:
  A Simulation Study
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
Philipp Bach
Oliver Schacht
Victor Chernozhukov
Jan Rabenseifner
Martin Spindler
59
8
0
07 Feb 2024
Federated Experiment Design under Distributed Differential Privacy
Federated Experiment Design under Distributed Differential Privacy
Wei-Ning Chen
Graham Cormode
Akash Bharadwaj
Peter Romov
Ayfer Özgür
FedML
71
4
0
07 Nov 2023
Differentially Private Multi-Site Treatment Effect Estimation
Differentially Private Multi-Site Treatment Effect Estimation
Tatsuki Koga
Kamalika Chaudhuri
David Page
OODFedMLCML
91
2
0
10 Oct 2023
Confidence-Ranked Reconstruction of Census Microdata from Published
  Statistics
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics
Travis Dick
Cynthia Dwork
Michael Kearns
Terrance Liu
Aaron Roth
G. Vietri
Zhiwei Steven Wu
71
30
0
06 Nov 2022
Differentially Private Estimation of Heterogeneous Causal Effects
Differentially Private Estimation of Heterogeneous Causal Effects
Fengshi Niu
Harsha Nori
B. Quistorff
R. Caruana
Donald Ngwe
A. Kannan
CML
93
14
0
22 Feb 2022
Accuracy, Interpretability, and Differential Privacy via Explainable
  Boosting
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
Harsha Nori
R. Caruana
Zhiqi Bu
J. Shen
Janardhan Kulkarni
83
38
0
17 Jun 2021
Privacy-Preserving Causal Inference via Inverse Probability Weighting
Privacy-Preserving Causal Inference via Inverse Probability Weighting
Si Kai Lee
Luigi Gresele
Mijung Park
Krikamol Muandet
59
13
0
29 May 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
107
413
0
16 May 2018
Scalable Private Learning with PATE
Scalable Private Learning with PATE
Nicolas Papernot
Shuang Song
Ilya Mironov
A. Raghunathan
Kunal Talwar
Ulfar Erlingsson
143
618
0
24 Feb 2018
Knock Knock, Who's There? Membership Inference on Aggregate Location
  Data
Knock Knock, Who's There? Membership Inference on Aggregate Location Data
Apostolos Pyrgelis
Carmela Troncoso
Emiliano De Cristofaro
MIACV
146
272
0
21 Aug 2017
Renyi Differential Privacy
Renyi Differential Privacy
Ilya Mironov
93
1,270
0
24 Feb 2017
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
97
840
0
06 May 2016
Differentially Private Release and Learning of Threshold Functions
Differentially Private Release and Learning of Threshold Functions
Mark Bun
Kobbi Nissim
Uri Stemmer
Salil P. Vadhan
97
198
0
28 Apr 2015
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
227
1,491
0
01 Dec 2009
1