Theoretical characterization of uncertainty in high-dimensional linear classification

Lucas Clarté, Bruno Loureiro, Florent Krzakala +1

Being able to reliably assess not only the \emph{accuracy} but also the \emph{uncertainty} of models' predictions is an important endeavour in modern machine learning. Even if the…