Detyniecki, Marcin

9 publications

TMLR 2025 Controlled Model Debiasing Through Minimal and Interpretable Updates Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki

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

MLJ 2024 Understanding Prediction Discrepancies in Classification Xavier Renard, Thibault Laugel, Marcin Detyniecki

MLJ 2023 Adversarial Learning for Counterfactual Fairness Vincent Grari, Sylvain Lamprier, Marcin Detyniecki

IJCAI 2022 Fairness Without the Sensitive Attribute via Causal Variational Autoencoder Vincent Grari, Sylvain Lamprier, Marcin Detyniecki

ECML-PKDD 2021 Learning Unbiased Representations via Rényi Minimization Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki

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

IJCAI 2019 The Dangers of Post-Hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

ECML-PKDD 2019 Unjustified Classification Regions and Counterfactual Explanations in Machine Learning Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki