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François Hu
François Hu
AI researcher at Milliman France
Adresse e-mail validée de milliman.com - Page d'accueil
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Fairness guarantees in multi-class classification with demographic parity
C Denis, R Elie, M Hebiri, F Hu
Journal of Machine Learning Research 25 (130), 1-46, 2024
43*2024
Fairness in multi-task learning via wasserstein barycenters
F Hu, P Ratz, A Charpentier
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
102023
A sequentially fair mechanism for multiple sensitive attributes
F Hu, P Ratz, A Charpentier
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12502 …, 2024
52024
An overview of active learning methods for insurance with fairness appreciation
R Elie, C Hillairet, F Hu, M Juillard
arXiv preprint arXiv:2112.09466, 2021
52021
Mitigating Discrimination in Insurance with Wasserstein Barycenters
A Charpentier, F Hu, P Ratz
3rd Workshop on Bias and Fairness in AI, International Workshop of ECML PKDD, 2023
42023
Semi-supervised learning in insurance: fairness and active learning
F Hu
Institut Polytechnique de Paris, 2022
32022
Geospatial disparities: A case study on real estate prices in paris
AF Machado, F Hu, P Ratz, E Gallic, A Charpentier
arXiv preprint arXiv:2401.16197, 2024
12024
Parametric Fairness with Statistical Guarantees
F Hu, P Ratz, A Charpentier
arXiv preprint arXiv:2310.20508, 2023
12023
Probabilistic Scores of Classifiers, Calibration is not Enough
AF Machado, A Charpentier, E Flachaire, E Gallic, F Hu
arXiv preprint arXiv:2408.03421, 2024
2024
Probabilistic Scores of Classifiers, Calibration is not Enough
A Fernandes Machado, A Charpentier, E Flachaire, E Gallic, F Hu
arXiv e-prints, arXiv: 2408.03421, 2024
2024
Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review
Y Sharma, EKE Laison, T Philippsen, J Ma, J Kong, S Ghaemi, J Liu, F Hu, ...
The Lancet Regional Health–Americas 32, 2024
2024
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
AF Machado, A Charpentier, E Flachaire, E Gallic, F Hu
arXiv preprint arXiv:2402.07790, 2024
2024
Addressing Fairness and Explainability in Image Classification Using Optimal Transport
P Ratz, F Hu, A Charpentier
arXiv preprint arXiv:2308.11090, 2023
2023
Fair Active Learning: Solving the Labeling Problem in Insurance
R Elie, C Hillairet, F Hu, M Juillard
arXiv preprint arXiv:2112.09466, 2021
2021
Fair Active Learning: Solving the Labeling Problem in Insurance
R Elie, C Hillairet, F Hu, M Juillard
arXiv e-prints, arXiv: 2112.09466, 2021
2021
Efficient labeling with Active Learning
F HU, C Hillairet, M Juillard, R Elie
Online International Conference in Actuarial Science, Data Science and Finance, 2020
2020
Fairness and Discrimination with Multiple Attributes
AF Machado, S Grondin, F Hu, P Ratz, A Charpentier
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