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On the Direction of Discrimination: An Information-Theoretic Analysis of
  Disparate Impact in Machine Learning

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning

16 January 2018
Hao Wang
Berk Ustun
Flavio du Pin Calmon
    FaML
ArXivPDFHTML

Papers citing "On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning"

2 / 2 papers shown
Title
Repairing without Retraining: Avoiding Disparate Impact with
  Counterfactual Distributions
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
Hao Wang
Berk Ustun
Flavio du Pin Calmon
FaML
36
83
0
29 Jan 2019
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model
  Distillation
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
S. Tan
R. Caruana
Giles Hooker
Yin Lou
MLAU
28
180
0
17 Oct 2017
1