StCP leverages transfer learning to stabilize the size of conformal prediction sets without additional target labels.
Journal of Machine Learning Research , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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Standard conformal prediction gives nominal overall coverage on Pew survey data but leaves ~13-point weighted gaps across race-education subgroups, and group-specific Mondrian calibration does not reliably close them.
citing papers explorer
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Stable Localized Conformal Prediction via Transduction
StCP leverages transfer learning to stabilize the size of conformal prediction sets without additional target labels.
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Socio-Conformal Calibration in Complex Survey Data: Marginal Validity Is Not Enough for Subgroup Reliability
Standard conformal prediction gives nominal overall coverage on Pew survey data but leaves ~13-point weighted gaps across race-education subgroups, and group-specific Mondrian calibration does not reliably close them.