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Yi-Lun Chen

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Preprint Aug 2026

Sharp Characterization of Bias in Post-Bandit Inference

Bandit algorithms generate data for downstream inference, but adaptive sampling biases post-bandit sample means. We analyze this bias for stable index algorithms, including UCB1 and its generalizations, and derive sharp leading-order expressions for the sample-mean bias and expected $Z$-statistic, in bandit experiments...

Li-Su Wang, Yi-Lun Chen, Jia-Qi Lu · 0 citations
#data science Preprint Aug 2026

Characterizing Bias in Post-Bandit Inference under Index Algorithms

Bandit algorithms generate data for downstream inference, but adaptive sampling biases post-bandit sample means. We analyze this bias for stable index algorithms, including UCB1 and its generalizations, and derive sharp leading-order expressions for the sample-mean bias and expected $Z$-statistic. Our characterization...

Lisu Wang, Yilun Chen, Jiaqi Lu · 0 citations
Open access Aug 2026

Polynomial-Time Algorithm for Optimal Stopping with Fixed Accuracy

This work develops a novel expansion representation for the OS value and proves that truncating this expansion yields a simulation-based algorithm that implements an optimal stopping policy with computational complexity scaling polynomially in the time horizon and the underlying dimension.

Yi-Lun Chen, David A. Goldberg · 0 citations

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