www-ai.cs.tu-dortmund.de/LEHRE/SEMINARE/SS21/TrustworthyAIMachineLearning/zafar2017a.pdf
= 0, y = 1) = N ([2, 0], [5, 1; 1, 5])
p(x|z = 1, y = 1) = N ([2, 3], [5, 1; 1, 5])
p(x|z = 0, y = −1) = N ([−1,−3], [5, 1; 1, 5])
p(x|z = 1, y = −1) = N ([−1, 0], [5, 1; 1, 5])
An unconstrained logistic [...] = 0, y = 1) = N ([1, 2], [5, 2; 2, 5])
p(x|z = 1, y = 1) = N ([2, 3], [10, 1; 1, 4])
p(x|z = 0, y = −1) = N ([0,−1], [7, 1; 1, 7])
p(x|z = 1, y = −1) = N ([−5, 0], [5, 1; 1, 5])
Then, we train an unconstrained [...] Classifiers without Disparate Mistreatment
5 Evaluation
5.1 Experiments on synthetic data
5.1.1 Disparate mistreatment on only false positive rate or false negative rate
5.1.2 Disparate mistreatment on both false …
