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Weighted conformal prediction under covariate shift

Contribution grade

AI uncertainty, reliability and selective prediction · Human-designed research method or resource

Reference score145,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Weights conformity-score quantiles by test-to-training covariate likelihood ratios, extending prediction coverage to a covariate-shift and weighted-exchangeability setting.

Scientific scope

Weights conformity-score quantiles by test-to-training covariate likelihood ratios, extending prediction coverage to a covariate-shift and weighted-exchangeability setting. Exact theorem requires unchanged conditionalY|X, absolute continuity and correct density-ratio weights; estimated ratios do not inherit exact validity automatically. Not arbitrary concept/label shift or pointwise conditional coverage. Existing conformal and importance weighting are inherited.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Exact theorem requires unchanged conditionalY|X, absolute continuity and correct density-ratio weights; estimated ratios do not inherit exact validity automatically. Not arbitrary concept/label shift or pointwise conditional coverage. Existing conformal and importance weighting are inherited.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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