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Conformal prediction sets have guaranteed coverage, but can be too large. Backward conformal prediction tries to fix this, and a new method improves it by transforming non-conformity scores. This could make conformal prediction more useful in practice.
“arXiv:2602.01733v3 Announce Type: replace-cross Abstract: Conformal Prediction (CP) provides a statistical framework for uncertainty quantification that constructs prediction sets with coverage guarantees. While CP yields uncontrolled predi…”
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ACTIVE
CATEGORY
Research
EVIDENCE
Not yet assessed
ENTITY
Backward Conformal Prediction, Conformal Prediction
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 8, 2026