Nati Srebro
(2 articles)
2017
Counterfactual Fairness
ML concept that ensures decisions remain fair by being unaffected by sensitive attributes, such as race or gender, in hypothetical scenarios where these attributes are altered.
Generality: 590
2019
Double Descent
Phenomenon in ML where the prediction error on test data initially decreases, increases, and then decreases again as model complexity grows.
Generality: 715