Communication Dans Un Congrès Année : 2024

Private Interdependent Valuations: New Bounds for Single-Item Auctions and Matroids

Alon Eden
Michal Feldman
Divyarthi Mohan

Résumé

We study auction design within the widely acclaimed model of interdependent values, introduced by Milgrom and Weber [1982]. In this model, every bidder i has a private signal si for the item for sale, and a public valuation function υi (s1, ..., sn) which maps every vector of private signals (of all bidders) into a real value. A recent line of work established the existence of approximately-optimal mechanisms within this framework, even in the more challenging scenario where each bidder's valuation function υi is also private. This body of work has primarily focused on single-item auctions with two natural classes of valuations: those exhibiting submodularity over signals (SOS) and d-critical valuations. In this work we advance the state of the art on interdependent values with private valuation functions, with respect to both SOS and d-critical valuations. For SOS valuations, we devise a new mechanism that gives an improved approximation bound of 5 for single-item auctions. This mechanism employs a novel variant of an "eating mechanism", leveraging LP-duality to achieve feasibility with reduced welfare loss. For d-critical valuations, we broaden the scope of existing results beyond single-item auctions, introducing a mechanism that gives a (d + 1)-approximation for any environment with matroid feasibility constraints on the set of agents that can be simultaneously served. Notably, this approximation bound is tight, even with respect to single-item auctions.
Fichier principal
Vignette du fichier
3670865.3673581.pdf (664.31 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
licence

Dates et versions

hal-04923236 , version 1 (31-01-2025)

Licence

Identifiants

Citer

Alon Eden, Michal Feldman, Simon Mauras, Divyarthi Mohan. Private Interdependent Valuations: New Bounds for Single-Item Auctions and Matroids. EC 2024 - 25th ACM Conference on Economics and Computation, Jul 2024, New Haven, United States. pp.448-464, ⟨10.1145/3670865.3673581⟩. ⟨hal-04923236⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More