Author

Yuxuan Han

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Open access Nov 2026

Online Decision Making with Local Differential Privacy

Contextual bandit algorithms are useful in personalized online decision-making. However, many applications, such as personalized medicine and online advertising, require the utilization of user-specific information for effective learning while maintaining user privacy due to privacy concerns. This motivates the introdu...

Yuxuan Han, Zhi-Peng Liang, Yang Wang et al. · Operational Research · 0 citations

#machine learning Preprint Sep 2026

Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach

We study data-driven multi-period lost-sales inventory control under censored demand, where a stockout reveals only that demand exceeded the stocking level. We develop a unified, model-based framework for policy learning from censored data, built on a new cost decomposition for base-stock policies and a biased sample-a...

Yuxuan Han, Xiao-Yu Fan, Jia-Wei Zhang et al. · 0 citations