Conformal Prediction via Regression-as-Classification: A Flexible Approach for Handling Complex Output Distributions

A novel approach to conformal prediction for regression that converts the regression problem into a classification problem, allowing the use of flexible classification-based conformal prediction techniques to handle complex output distributions such as heteroscedasticity and bimodality.