5 papers
Scaling-Score Conformal Prediction for Multi-Target Regression
Sylvain Rousseau, Soundouss Messoudi
Multi-target regression requires a model to simultaneously predict several related outputs. Conformal prediction provides distribution-free, finite-sample marginal coverage guarant…
SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors
Soundouss Messoudi, Sylvain Rousseau, Sébastien Destercke
Conformal Prediction (CP) provides robust uncertainty guarantees for predictive models, but is typically applied post hoc, which misaligns model training with the conformal goal of…
Guaranteed prediction sets for functional surrogate models
Ander Gray, Vignesh Gopakumar, Sylvain Rousseau +1
We propose a method for obtaining statistically guaranteed prediction sets for functional machine learning methods: surrogate models which map between function spaces, motivated by…
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet +1
In many large-scale classification problems, classes are organized in a known hierarchy, typically represented as a tree expressing the inclusion of classes in superclasses. We int…
Copula-based conformal prediction for Multi-Target Regression
Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau
There are relatively few works dealing with conformal prediction for multi-task learning issues, and this is particularly true for multi-target regression. This paper focuses on th…