This study examines issues of algorithmic fairness in the context of sys...
Unlike univariate extreme value theory, multivariate extreme value
distr...
Recent work has shown that models trained to the same objective, and whi...
Counterfactual examples are one of the most commonly-cited methods for
e...
We introduce leave-one-out unfairness, which characterizes how likely a
...
We present FlipTest, a black-box auditing technique for uncovering subgr...
We study the phenomenon of bias amplification in classifiers, wherein a
...