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Learning to Price and Stock Under Contextual and Censored Demand

arXiv cs.LG · 2026-09-10 Cached

This paper proposes a framework for joint pricing and inventory control with contextual information and censored demand, introducing an efficient algorithm with proven regret bounds.

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