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Cited By
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
20 May 2021
Flavien Prost
Pranjal Awasthi
Nicholas Blumm
A. Kumthekar
Trevor Potter
Li Wei
Xuezhi Wang
Ed H. Chi
Jilin Chen
Alex Beutel
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Papers citing
"Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective"
4 / 4 papers shown
Title
Fairness in Ranking under Uncertainty
Ashudeep Singh
David Kempe
Thorsten Joachims
28
49
0
14 Jul 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
False Information on Web and Social Media: A Survey
Srijan Kumar
Neil Shah
134
346
0
23 Apr 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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