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Conformal prediction guarantees fail under distribution shift, but pseudo-calibration can help. This method offers a way to maintain coverage guarantees even when the data distribution changes. It's a step towards more reliable predictions in changing environments.
“arXiv:2602.14913v3 Announce Type: replace Abstract: Conformal prediction (CP) offers distribution-free marginal coverage guarantees under an exchangeability assumption, but these guarantees can fail if the data distribution shifts. We analy…”
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ACTIVE
CATEGORY
Models
EVIDENCE
Not yet assessed
ENTITY
Conformal Prediction, Pseudo-Calibration
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 7, 2026