The paper introduces PACOPP, a rejection-sampling plus conformal prediction algorithm that gives probably approximately correct coverage guarantees for off-policy reward prediction intervals in contextual bandits.
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
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PAC Off-Policy Prediction of Contextual Bandits
The paper introduces PACOPP, a rejection-sampling plus conformal prediction algorithm that gives probably approximately correct coverage guarantees for off-policy reward prediction intervals in contextual bandits.