collaborators

5 papers

stat.ML2025

JANET: Joint Adaptive predictioN-region Estimation for Time-series

Eshant English, Eliot Wong-Toi, Matteo Fontana +3

Conformal prediction provides machine learning models with prediction sets that offer theoretical guarantees, but the underlying assumption of exchangeability limits its applicabil…

stat.ML2025

A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression

Victor Dheur, Matteo Fontana, Yorick Estievenart +2

Conformal prediction provides a powerful framework for constructing distribution-free prediction regions with finite-sample coverage guarantees. While extensively studied in univar…

stat.ME2024

Calibrated quantile prediction for Growth-at-Risk

Pietro Bogani, Matteo Fontana, Luca Neri +1

Accurate computation of robust estimates for extremal quantiles of empirical distributions is an essential task for a wide range of applicative fields, including economic policymak…

stat.ME2024

Conformal Prediction Sets for Populations of Graphs

Anna Calissano, Matteo Fontana, Gianluca Zeni +1

The analysis of data such as graphs has been gaining increasing attention in the past years. This is justified by the numerous applications in which they appear. Several methods ar…

stat.ME2024

Global Sensitivity and Domain-Selective Testing for Functional-Valued Responses: An Application to Climate Economy Models

Matteo Fontana, Massimo Tavoni, Simone Vantini

Understanding the dynamics and evolution of climate change and associated uncertainties is key for designing robust policy actions. Computer models are key tools in this scientific…