Tag: areas

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows arXiv:2505.23196v1 Announce Type: new Abstract: Conformal prediction provides a model-agnostic framework for uncertainty quantification with finite-sample validity guarantees, making it an attractive tool for constructing reliable prediction sets. However, existing approaches commonly rely on residual-based conformity scores, which impose geometric constraints and struggle when the underlying distribution is…