Aïvodji, Ulrich

12 publications

TMLR 2026 Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

TMLR 2025 Adaptive Group Robust Ensemble Knowledge Distillation Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

ICLRW 2025 GradTune: Last-Layer Fine-Tuning for Group Robustness Without Group Annotation Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

ICLRW 2025 Towards Personalized Healthcare Without Harm via Bias Modulation Frank Ngaha, Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou

TMLR 2024 A Survey on Fairness Without Demographics Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

TMLR 2024 Fairness Under Demographic Scarce Regime Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

TMLR 2024 Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods Julien Ferry, Gabriel Laberge, Ulrich Aïvodji

ICLR 2023 Fooling SHAP with Stealthily Biased Sampling Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh

MLJ 2023 Improving Fairness Generalization Through a Sample-Robust Optimization Method Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

NeurIPS 2022 Washing the Unwashable : On the (Im)possibility of Fairwashing Detection Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot

NeurIPS 2021 Characterizing the Risk of Fairwashing Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara

ICML 2019 Fairwashing: The Risk of Rationalization Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp