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Li-Su Wang

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Preprint Aug 2026

Sharp Characterization of Bias in Post-Bandit Inference

This work identifies the algorithmic origin of bias through a key index-function-dependent quantity, which is term effective exploration rate, and shows how bias most severely distorts confidence intervals and hypothesis tests when the tested arm is one of the tied-optimal arms.

Li-Su Wang, Yi-Lun Chen, Jia-Qi Lu · 0 citations

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