Author

Zean Han

2 papers indexed here

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#machine learning Conference Open access Sep 2026

Learning to Price and Stock Under Contextual and Censored Demand

This work proposes an efficient algorithm to achieve regret bound O(K sqrt(T) log T) under concave revenue conditions and O(K^(2/3) T^(2/3) (log T)^(1/2) for the general case, with matching lower bounds confirming optimality.

Ze-An Han, Ze-Zhen Ding, Ji-Heng Zhang · Proceedings of the Thirty-Fi... · 1 citation

#machine learning Preprint Aug 2026

Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

A Mean-Calibrated Kernel UCB (MCK-UCB) algorithm is proposed that turns each incomplete sales record into a reliable guide for both inventory and price decisions, using data from past rounds with similar market conditions.

Ze-An Han, Jing Liang, Ruihan Lin et al. · 0 citations