works on
fairness in AI 1gradient boosting 1in-processing methods 1optimal transport 1tabular data 1

From the 1 of 1 linked paper with an AI index.

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1 paper

math.ST2026

OT-FairBoost: Optimal Transport-Guided Gradient Boosting for Fairness Regularization on Tabular Data

Veronika Shilova, Abdoulaye Sakho, Younes Boumoussou +3

The paper proposes OT-FairBoost, an in-processing method that adds a Wasserstein-2 distance penalty to gradient-boosted tree training to improve group fairness while maintaining ac…