2026
JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
ICLR 2026poster
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 geometr…