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Conformal Bayes under Continuous Label Shift: Sensitivity Analysis and the Limits of Exact Validity
Conformal Bayes combines Bayesian posterior predictive scores with conformal calibration, but under continuous label shift both the score and calibration weight depend on the unknown response-marginal density ratio. Existing methods typically estimate one shift parameter from pseudo-labels or predic
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