Fair NLP Models with Differentially Private Text Encoders. - Gaurav Maheshwari 004; Pascal Denis; Mikaela Keller; Aurélien Bellet (EMNLP (Findings), 2022)

Fair Without Leveling Down: A New Intersectional Fairness Definition. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (EMNLP, 2023)

How to Capture Intersectional Fairness. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (CoRR, 2023)

FairGrad: Fairness Aware Gradient Descent. - Gaurav Maheshwari 004; Michaël Perrot (Trans. Mach. Learn. Res., 2023)

Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure. - Gaurav Maheshwari 004; Aurélien Bellet; Pascal Denis; Mikaela Keller (CoRR, 2024)

Measuring and Mitigating Allocation Unfairness Across the Machine Learning Pipeline. (Mesurer et atténuer l'injustice d'allocation dans le processus d'apprentissage automatique). - Gaurav Maheshwari 004 (2024)