Zihao Shi

Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score

Conformal prediction (CP) is a powerful framework for uncertainty quantification, generating prediction sets with coverage guarantees. Split conformal prediction relies on labeled data in the calibration procedure. However, the labeled data is often limited in real-world scenarios, leading to unstab