SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals

Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-Demoulin

This work introduces the Supervised Expectation-Maximization Framework (SEMF), a versatile and model-agnostic approach for generating prediction intervals with any ML model. SEMF e…