Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations. In this paper, we cast the bilateral trade problem in a regret minimization framework over T rounds of seller/buyer interactions, with no prior knowledge on their private valuations. Our main contribution is a complete characterization of the regret regimes for fixed-price mechanisms with different feedback models and private valuations, using as a benchmark the best fixed price in hindsight. More precisely, we prove the following tight bounds on the regret: Θ(√𝑇) for full-feedback (i.e., direct revelation mechanisms). Θ(𝑇2/3) for realistic feedback (i.e., posted-price mechanisms) and independent seller/buyer valuations with bounded densities. Θ(𝑇) for realistic feedback and seller/buyer valuations with bounded densities. Θ(𝑇) for realistic feedback and independent seller/buyer valuations. Θ(𝑇) for the adversarial setting.
Bilateral trade: A regret minimization perspective / N. Cesa Bianchi, T. Cesari, R. Colomboni, F. Fusco, S. Leonardi. - In: MATHEMATICS OF OPERATIONS RESEARCH. - ISSN 0364-765X. - 49:1(2024 Feb), pp. 171-203. [10.1287/moor.2023.1351]
Bilateral trade: A regret minimization perspective
N. Cesa BianchiPrimo
;R. Colomboni;
2024
Abstract
Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations. In this paper, we cast the bilateral trade problem in a regret minimization framework over T rounds of seller/buyer interactions, with no prior knowledge on their private valuations. Our main contribution is a complete characterization of the regret regimes for fixed-price mechanisms with different feedback models and private valuations, using as a benchmark the best fixed price in hindsight. More precisely, we prove the following tight bounds on the regret: Θ(√𝑇) for full-feedback (i.e., direct revelation mechanisms). Θ(𝑇2/3) for realistic feedback (i.e., posted-price mechanisms) and independent seller/buyer valuations with bounded densities. Θ(𝑇) for realistic feedback and seller/buyer valuations with bounded densities. Θ(𝑇) for realistic feedback and independent seller/buyer valuations. Θ(𝑇) for the adversarial setting.| File | Dimensione | Formato | |
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