François Hu

According to our database, François Hu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Fair regression under localized demographic parity constraints.

Arthur Charpentier, Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu

CoRR, March, 2026

Federated Measurement of Demographic Disparities from Quantile Sketches.

Arthur Charpentier, Agathe Fernandes Machado, Olivier Côté, François Hu

CoRR, February, 2026

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint.

Bertille Tierny, Arthur Charpentier, François Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract).

Bertille Tierny, Arthur Charpentier, François Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EquiPy: Sequential Fairness using Optimal Transport in Python.

Agathe Fernandes Machado, Suzie Grondin, Philipp Ratz, Arthur Charpentier, François Hu

CoRR, March, 2025

2024

Fairness guarantees in multi-class classification with demographic parity.

Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu

J. Mach. Learn. Res., 2024

Probabilistic Scores of Classifiers, Calibration is not Enough.

Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu

CoRR, 2024

From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration.

Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu

CoRR, 2024

Geospatial Disparities: A Case Study on Real Estate Prices in Paris.

Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier

CoRR, 2024

A Sequentially Fair Mechanism for Multiple Sensitive Attributes.

François Hu, Philipp Ratz, Arthur Charpentier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Parametric Fairness with Statistical Guarantees.

François Hu, Philipp Ratz, Arthur Charpentier

CoRR, 2023

Addressing Fairness and Explainability in Image Classification Using Optimal Transport.

Philipp Ratz, François Hu, Arthur Charpentier

CoRR, 2023

Fairness in Multi-Task Learning via Wasserstein Barycenters.

François Hu, Philipp Ratz, Arthur Charpentier

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Mitigating Discrimination in Insurance with Wasserstein Barycenters.

Arthur Charpentier, François Hu, Philipp Ratz

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2021

An overview of active learning methods for insurance with fairness appreciation.

Romuald Elie, Caroline Hillairet, François Hu, Marc Juillard

CoRR, 2021