SOCP uses self-organizing maps for unsupervised group discovery to enable local calibration in conformal prediction, reducing regional coverage gaps on benchmarks with small set-size increases while preserving validity guarantees.
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Introduces Conformal ReLiability (CReL) framework to compute a conformal-prediction-based reliability score measuring worst-case performance in prediction sets for conditional generative models.
PIT-CP post-processes nonconformity scores via one-dimensional conditional density estimation to produce approximately pivotal scores, achieving approximate conditional coverage in conformal prediction for i.i.d. data.
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Conformal Reliability: A New Evaluation Metric for Conditional Generation
Introduces Conformal ReLiability (CReL) framework to compute a conformal-prediction-based reliability score measuring worst-case performance in prediction sets for conditional generative models.