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stat.ML2025
Multivariate Conformal Prediction using Optimal Transport
Michal Klein, Louis Bethune, Eugene Ndiaye +1
Conformal prediction (CP) quantifies the uncertainty of machine learning models by constructing sets of plausible outputs. These sets are constructed by leveraging a so-called conf…
stat.ML2022
Exact and Approximate Conformal Inference for Multi-Output Regression
Chancellor Johnstone, Eugene Ndiaye
It is common in machine learning to estimate a response given covariate information . However, these predictions alone do not quantify any uncertainty associated with said p…