Optimizing Probabilistic Conformal Prediction with Vectorized
Non-Conformity Scores
Optimizing Probabilistic Conformal Prediction with Vectorized
Non-Conformity Scores
Generative models have shown significant promise in critical domains such as medical diagnosis, autonomous driving, and climate science, where reliable decision-making hinges on accurate uncertainty quantification. While probabilistic conformal prediction (PCP) offers a powerful framework for this purpose, its coverage efficiency -- the size of the uncertainty set -- is …