2 papers
cs.LG2025
Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models
Krishn Vishwas Kher, Saksham Mittal, Aditya Varun +2
One of the main concerns while deploying machine learning models in real-world applications is fairness. Counterfactual fairness has emerged as an intuitive and natural definition…
cs.LG2024
FROC: Building Fair ROC from a Trained Classifier
Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar
This paper considers the problem of fair probabilistic binary classification with binary protected groups. The classifier assigns scores, and a practitioner predicts labels using a…