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Fair Regression for Health Care Spending

Fair Regression for Health Care Spending

28 January 2019
A. Zink
Sherri Rose
ArXivPDFHTML

Papers citing "Fair Regression for Health Care Spending"

7 / 7 papers shown
Title
A Huber loss-based super learner with applications to healthcare
  expenditures
A Huber loss-based super learner with applications to healthcare expenditures
Ziyue Wu
David Benkeser
26
1
0
13 May 2022
A comparison of approaches to improve worst-case predictive model
  performance over patient subpopulations
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
29
22
0
27 Aug 2021
Understanding and Mitigating Accuracy Disparity in Regression
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi
Yuan Tian
Geoffrey J. Gordon
Han Zhao
27
25
0
24 Feb 2021
Stochastic Compositional Gradient Descent under Compositional
  Constraints
Stochastic Compositional Gradient Descent under Compositional Constraints
Srujan Teja Thomdapu
Harsh Vardhan
K. Rajawat
21
12
0
17 Dec 2020
Ethical Machine Learning in Health Care
Ethical Machine Learning in Health Care
Irene Y. Chen
Emma Pierson
Sherri Rose
Shalmali Joshi
Kadija Ferryman
Marzyeh Ghassemi
AILaw
27
372
0
22 Sep 2020
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
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,091
0
24 Oct 2016
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