SOURCE-LINKED INTELLIGENCE

Scaling-Score Conformal Prediction for Multi-Target Regression

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Multi-target regression requires a model to simultaneously predict several related outputs. Conformal prediction provides distribution-free, finite-sample marginal coverage guarantees, but extending these to joint multi-dimensional regions in a model-agnostic, sample-efficient manner remains challenging: max-aggregation ignores scale differences, copula-based methods are only asymptotically valid, rectangular methods typically split the calibration set, and quantile or density-based methods require training a specialised model beyond a plain point predictor. We propose the scaling-score confor

Read original source ↗ Open in workspace

recordType

paper

region

Global