Gamboa Fabrice — accepted AI-conference papers

2026

Exact Functional ANOVA Decomposition for Categorical Inputs

Baptiste Ferrere, Nicolas Bousquet, Gamboa Fabrice, Jean-Michel Loubes, Joseph Muré

ICML 2026oral

Functional ANOVA offers a principled framework for interpretability by decomposing a model’s prediction into main effects and higher-order interactions. For independent features, this decomposition is well-defined, strongly linked with SHAP values, and serves as a cornerstone of additive explainabil…

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2019

Obtaining Fairness using Optimal Transport Theory

Paula Gordaliza, Eustasio Del Barrio, Gamboa Fabrice, Jean-Michel Loubes

ICML 2019oral

In the fair classification setup, we recast the links between fairness and predictability in terms of probability metrics. We analyze repair methods based on mapping conditional distributions to the Wasserstein barycenter. We propose a Random Repair which yields a tradeoff between minimal informatio…

Cited by 216 Source ↗PDF ↗Scholar ↗