1 citations · 1 across the 4 of their papers we have counts for
6 papers
Linear Risk Sharing on Networks
Arthur Charpentier, Philipp Ratz
Over the past decade alternatives to traditional insurance and banking have grown in popularity. The desire to encourage local participation has lead products such as peer-to-peer…
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier
Cooperative game theory has become a cornerstone of post-hoc interpretability in machine learning, largely through the use of Shapley values. Yet, despite their widespread adoption…
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Marouane Il Idrissi, Agathe Fernandes Machado, Ewen Gallic +1
Cooperative game theory methods, notably Shapley values, have significantly enhanced machine learning (ML) interpretability. However, existing explainable AI (XAI) frameworks mainl…
EquiPy: Sequential Fairness using Optimal Transport in Python
Agathe Fernandes Machado, Suzie Grondin, Philipp Ratz +2
Algorithmic fairness has received considerable attention due to the failures of various predictive AI systems that have been found to be unfairly biased against subgroups of the po…
Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies
Suzie Grondin, Arthur Charpentier, Philipp Ratz
Collusion in market pricing is a concept associated with human actions to raise market prices through artificially limited supply. Recently, the idea of algorithmic collusion was p…
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport
Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
Recently, optimal transport-based approaches have gained attention for deriving counterfactuals, e.g., to quantify algorithmic discrimination. However, in the general multivariate…