Fair Adversarial Gradient Tree Boosting. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (ICDM, 2019)

Fairness-Aware Neural Réyni Minimization for Continuous Features. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2019)

Fairness-Aware Neural Rényi Minimization for Continuous Features. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2020)

Achieving Fairness with Decision Trees: An Adversarial Approach. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (Data Sci. Eng., 2020)

Enforcing Individual Fairness via Rényi Variational Inference. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ICONIP (5), 2021)

Learning Unbiased Representations via Rényi Minimization. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ECML/PKDD (2), 2021)

Fairness without the Sensitive Attribute via Causal Variational Autoencoder. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2022)

A fair pricing model via adversarial learning. - Vincent Grari; Arthur Charpentier; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2022)

Adversarial mitigation to reduce unwanted biases in machine learning. (Réduire les biais indésirables en apprentissage automatique par atténuation adverse). - Vincent Grari (2022)

Adversarial learning for counterfactual fairness. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (Mach. Learn., 2023)

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. - Vincent Grari; Thibault Laugel; Tatsunori Hashimoto; Sylvain Lamprier; Marcin Detyniecki (ICLR, 2024)

OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning. - Vincent Grari; Marcin Detyniecki (CoRR, 2024)

Post-processing fairness with minimal changes. - Federico Di Gennaro; Thibault Laugel; Vincent Grari; Xavier Renard; Marcin Detyniecki (CoRR, 2024)

SAKE: Steering Activations for Knowledge Editing. - Marco Scialanga; Thibault Laugel; Vincent Grari; Marcin Detyniecki (ACL (1), 2025)

When Mitigating Bias is Unfair: Multiplicity and Arbitrariness in Algorithmic Group Fairness. - Natasa Krco; Thibault Laugel; Vincent Grari; Jean-Michel Loubes; Marcin Detyniecki (SaTML, 2025)

Controlled Model Debiasing through Minimal and Interpretable Updates. - Federico Di Gennaro; Thibault Laugel; Vincent Grari; Marcin Detyniecki (Trans. Mach. Learn. Res., 2025)