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cs.LG2026
Augmented Feature Boosting for Multicalibration
Ira Globus-Harris, Inbal Livni Navon
Multicalibration requires a predictor's residuals to be unbiased not only globally, but also after conditioning on the predictor's own level sets and reweighting by a rich class of…
cs.CY2026
Fairness in Limited Resources Settings
Eitan Bachmat, Inbal Livni Navon
In recent years many important societal decisions are made by machine-learning algorithms, and many such important decisions have strict capacity limits, allowing resources to be a…