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Fairness in Machine Learning with Tractable Models

Fairness in Machine Learning with Tractable Models

16 May 2019
Michael Varley
Vaishak Belle
    FaML
ArXivPDFHTML

Papers citing "Fairness in Machine Learning with Tractable Models"

2 / 2 papers shown
Title
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study
Kinshuk Sengupta
Praveen Ranjan Srivastava
41
6
0
22 Jan 2022
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
2,092
0
24 Oct 2016
1