Article

Conformal Uncertainty Calibration for Fixed World Models Under Policy Intervention

This paper studies the failure of world-model uncertainty after a deployment policy changes. It proposes weighted conformal calibration to transport marginal coverage to the target policy distribution, and it bounds the weight error using the log-loss regret of a domain classifier.

Part of the event: A New Method for Conformal Calibration of World Models under Policy Interventions

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