Co-head of AI Lab at Milliman France. Awarded for the best actuarial science thesis in France (SCOR22) (PhD ENSAE). Author & Maintainer of the Package Equipy.
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Milliman France
- Paris
- https://curiousml.github.io/
- in/françois-hu-9b6295136
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equilibration/equipy
equilibration/equipy PublicEquiPy is a Python package implementing sequential fairness on the predicted outputs of Machine Learning models, addressing multiple sensitive attributes through post-processing.
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epsilon-fairness
epsilon-fairness PublicThis is the code of the paper : "fairness guarantee in multi-class classification"
Jupyter Notebook 1
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phi-ra/FairMultitask
phi-ra/FairMultitask PublicImplementation for our paper "Fairness in Multi-Task Learning via Wasserstein Barycenters"
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