The MAPS Algorithm: Fast model-agnostic and distribution-free prediction intervals for supervised learning

Daniel Salnikov, Dan Leonte, Kevin Michalewicz

A fundamental problem in modern supervised learning is computing reliable conditional prediction intervals in high-dimensional settings: existing methods often rely on restrictive…