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Online Learning in the Repeated Mediated Newsvendor Problem

NeurIPS 2025 · Bandits and online learning › Online convex optimization and games · approach: Learning for pricing and auctions · 0 citations (OpenAlex)

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Studies online learning of a mediator's trading price in a repeated newsvendor problem where a new supplier and retailer with private costs and utilities arrive at each step.

Problem

Repeated newsvendor trading mediated by a learning platform, where each round a new supplier (private production cost) and retailer (private utility) join and the mediator must propose a unit trading price.

Approach

Frames supply-chain trading as an online learning problem in which the mediator learns the price online from private supplier and retailer types arriving each round, rather than assuming known distributions.

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