Generative Conformal Prediction with Optimized Coverage Allocation
The Generative Conformal Prediction with Vectorized Non-Conformity Scores (GCP-VCR) improves prediction set efficiency by using a generative model to sample multiple predictions. It creates adaptive uncertainty sets by aggregating and ranking non-conformity scores across these samples, allowing for better allocation of prediction set size based on sample confidence.