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David Simchi-Levi

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Preprint Aug 2026

Refined Thompson Learning for Adaptive Bandits: Power-Efficient Flexibility Scheduling Across Data Centers

A contextual restless multi-armed bandit (CRMAB) framework in which a grid operator requests load reductions without observing internal job-scheduling decisions is proposed, demonstrating the economic potential of data-center flexibility as a grid service and highlighting the importance of high-quality, open-source AI...

Zi-Xi Chen, Yifu Ding, Rui-Cheng Ao et al. · 0 citations
#machine learning Preprint Feb 2026

AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach

This work develops an assumption-lean partial identification framework that uses such measurements as weak shadow variables, defined as outcome-informative proxies that are conditionally independent of missingness given the true outcome and observed covariates.

Hongyu Chen, David Simchi-Levi, Ruoxuan Xiong · 1 citation

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