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Books and Theses
- 2022
[b1]Vincent Grari
:
Adversarial mitigation to reduce unwanted biases in machine learning. (Réduire les biais indésirables en apprentissage automatique par atténuation adverse). Sorbonne University, Paris, France, 2022
Journal Articles
- 2023
- [j2]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Adversarial learning for counterfactual fairness. Mach. Learn. 112(3): 741-763 (2023) - 2020
- [j1]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Achieving Fairness with Decision Trees: An Adversarial Approach. Data Sci. Eng. 5(2): 99-110 (2020)
Conference and Workshop Papers
- 2024
- [c6]Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki:
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR 2024 - 2022
- [c5]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the Sensitive Attribute via Causal Variational Autoencoder. IJCAI 2022: 696-702 - 2021
- [c4]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Enforcing Individual Fairness via Rényi Variational Inference. ICONIP (5) 2021: 608-616 - [c3]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Learning Unbiased Representations via Rényi Minimization. ECML/PKDD (2) 2021: 749-764 - 2020
- [c2]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Rényi Minimization for Continuous Features. IJCAI 2020: 2262-2268 - 2019
- [c1]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fair Adversarial Gradient Tree Boosting. ICDM 2019: 1060-1065
Informal and Other Publications
- 2024
- [i9]Vincent Grari, Marcin Detyniecki:
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning. CoRR abs/2404.10275 (2024) - [i8]Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin Detyniecki:
Post-processing fairness with minimal changes. CoRR abs/2408.15096 (2024) - 2023
- [i7]Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki:
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR abs/2310.18413 (2023) - 2022
- [i6]Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki:
A fair pricing model via adversarial learning. CoRR abs/2202.12008 (2022) - 2021
- [i5]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the sensitive attribute via Causal Variational Autoencoder. CoRR abs/2109.04999 (2021) - 2020
- [i4]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Adversarial Learning for Counterfactual Fairness. CoRR abs/2008.13122 (2020) - [i3]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Learning Unbiased Representations via Rényi Minimization. CoRR abs/2009.03183 (2020) - 2019
- [i2]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Réyni Minimization for Continuous Features. CoRR abs/1911.04929 (2019) - [i1]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fair Adversarial Gradient Tree Boosting. CoRR abs/1911.05369 (2019)
Coauthor Index
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