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Understanding racial bias in health using the Medical Expenditure Panel
  Survey data

Understanding racial bias in health using the Medical Expenditure Panel Survey data

4 November 2019
Moninder Singh
Karthikeyan N. Ramamurthy
ArXivPDFHTML

Papers citing "Understanding racial bias in health using the Medical Expenditure Panel Survey data"

3 / 3 papers shown
Title
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
34
11
0
10 May 2022
An Empirical Study of Accuracy, Fairness, Explainability, Distributional
  Robustness, and Adversarial Robustness
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh
Gevorg Ghalachyan
Kush R. Varshney
R. Bryant
24
9
0
29 Sep 2021
An Empirical Characterization of Fair Machine Learning For Clinical Risk
  Prediction
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl
Agata Foryciarz
N. Shah
FaML
33
108
0
20 Jul 2020
1