42 citations
- Aix-Marseille UniversitéFR15 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- École des hautes études en sciences socialesFR4 papers
- Université du Québec à MontréalCA3 papers
- Advanced Materials Enterprises (China)CN2 papers
- Bocconi UniversityIT2 papers
- Centrale MéditerranéeFR2 papers
- École Nationale Supérieure de Techniques AvancéesFR2 papers
- École Nationale Supérieure de Techniques Avancées ParisFR2 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- IMT School for Advanced Studies LuccaIT2 papers
- Institut de Mathématiques de MarseilleFR2 papers
6 papers · 1 filter
Clustering Approaches for Mixed-Type Data: A Comparative Study
Badih Ghattas, Alvaro Sanchez San-Benito
Clustering is widely used in unsupervised learning to find homogeneous groups of observations within a dataset. However, clustering mixed-type data remains a challenge, as few exis…
Some smooth divergences for approximations
Pierre Bertrand, Wolfgang Stummer
For some smooth special case of generalized divergences as well as of new divergences (called scaled shift divergences), we derive approximations of the omnipresent (weighted)…
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…
Hybrid Random Concentrated Optimization Without Convexity Assumption
Pierre Bertrand, Michel Broniatowski, Wolfgang Stummer
We propose a new random method to minimize deterministic continuous functions over subsets of high-dimensional space without assuming convexity. Our pr…
Non-Bayesian Learning in Misspecified Models
Sebastian Bervoets, Mathieu Faure, Ludovic Renou
Deviations from Bayesian updating are traditionally categorized as biases, errors, or fallacies, thus implying their inherent ``sub-optimality.'' We offer a more nuanced view. We d…
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…