Research map / Learning theory and algorithms / Fairness
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Multi-World Fairness (MWF) vs constant counterfactually fair predictor, small delta | fair classifier (linear and deep) · COMPAS | test accuracy | Helped |
| decrease epsilon (stricter fairness) in MWF | MWF linear regressor · Law school | test RMSE | Hurt |
| use deep (3-layer NN) instead of linear MWF classifier at larger delta | MWF · COMPAS | test accuracy | Mixed |
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