Generative Conformal Prediction with Vectorized Non-Conformity Scores

We vectorize non-conformity scores across samples from a conditional generative model and optimize uncertainty allocation across density levels. The resulting prediction regions adapt to complex outcome geometry while retaining conformal validity.

Recommended citation: Minxing Zheng and Shixiang Zhu. (2024). "Generative Conformal Prediction with Vectorized Non-Conformity Scores." arXiv:2410.13735.
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