Counterfactual fairness: removing direct effects through regularization
Building machine learning models that are fair with respect to an unprivileged group is a topical problem. Modern fairness-aware algorithms often ignore causal effects and enforce fairness through modifications applicable to only a subset of machine learning models... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Logistic Regression
|
Generalized Linear Models |