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 Bianchi
Primo
;
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.
two-sided markets; online learning; posted-price mechanisms; partial monitoring
Settore INFO-01/A - Informatica
   European Learning and Intelligent Systems Excellence (ELISE)
   ELISE
   EUROPEAN COMMISSION
   H2020
   951847
feb-2024
17-feb-2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1122716
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