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20232026
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cs.GT2026

Marrying Pricing and Advertising with LLMs

Alessandro Barro, Francesco Bacchiocchi, Francesco Emanuele Stradi +1

We study a sequential pricing problem in which a seller jointly posts a price and an advertisement generated by a large language model (LLM). The seller aims to maximize revenue un…

cs.GT2026

Optimal Regret for Online Market Making with Limit Order Book

Maria Elena Vischi, Francesco Emanuele Stradi, Alberto Marchesi

We study online learning in market making, where, at each round, a market maker posts bid and ask prices before observing the market price and the private valuation of an incoming…

cs.GT2026

Online Resource Allocation with Replenishable Budgets

Eleonora Fidelia Chiefari, Francesco Emanuele Stradi, Alberto Marchesi

Online Resource Allocation (ORA) is a fundamental framework for sequential decision-making problems under budget constraints. Classical ORA models typically assume that resources a…

cs.GT2026

Decoupling Corruption and Horizon in Robust Contextual Pricing

Matteo Castiglioni, Francesco Emanuele Stradi

We study robust repeated contextual pricing, where valuations depends linearly on the features. At each round , a seller observes a context, posts a price, and receives on…

cs.GT2026

Online Resource Allocation With General Constraints

Eleonora Fidelia Chiefari, Francesco Emanuele Stradi, Matteo Castiglioni +1

Online resource allocation (ORA) is a fundamental framework for sequential decision-making problems under budget constraints, with applications ranging from online advertising to r…

cs.GT2024

Markov Persuasion Processes: Learning to Persuade from Scratch

Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni +2

In Bayesian persuasion, an informed sender strategically discloses information to a receiver so as to persuade them to undertake desirable actions. Recently, a growing attention ha…