2 citations · 8 across the 10 of their papers we have counts for
10 papers
Sequential Transport for Causal Mediation Analysis
Agathe Fernandes Machado, Iryna Voitsitska, Arthur Charpentier +1
We propose sequential transport (ST), a distributional framework for mediation analysis that combines optimal transport (OT) with a mediator directed acyclic graph (DAG). Instead o…
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…
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…
Probabilistic Scores of Classifiers, Calibration is not Enough
Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire +2
In binary classification tasks, accurate representation of probabilistic predictions is essential for various real-world applications such as predicting payment defaults or assessi…
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
In this paper, we link two existing approaches to derive counterfactuals: adaptations based on a causal graph, and optimal transport. We extend "Knothe's rearrangement" and "triang…
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire +2
The assessment of binary classifier performance traditionally centers on discriminative ability using metrics, such as accuracy. However, these metrics often disregard the model's…
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Agathe Fernandes Machado, François Hu, Philipp Ratz +2
Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining cost of computing power, geospatial information has come to play a pivotal role in contempo…
Optimal Transport for Counterfactual Estimation: A Method for Causal Inference
Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic
Many problems ask a question that can be formulated as a causal question: "what would have happened if...?" For example, "would the person have had surgery if he or she had been Bl…
Modeling Joint Lives within Families
Olivier Cabrignac, Arthur Charpentier, Ewen Gallic
Family history is usually seen as a significant factor insurance companies look at when applying for a life insurance policy. Where it is used, family history of cardiovascular dis…
Internal Migrations in France in the Nineteenth Century
Arthur Charpentier, Ewen Gallic
The digital age allows data collection to be done on a large scale and at low cost. This is the case of genealogy trees, which flourish on numerous digital platforms thanks to the…