Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
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…
cs.LG2025
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…
cs.LG2021
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…