Multi-source conformal prediction: leveraging heterogeneity via localization
Multi-Source Randomly Localized Conformal Prediction is proposed, which builds on the local coverage properties of randomly localized conformal prediction and extends it to multiple sources through data-adaptive source selection and establishes finite-sample coverage bounds using an interpretable notion of envelope dis...