Skip to main content

Settling the Communication Complexity of Combinatorial Auctions with Two Subadditive Buyers

Author(s): Ezra, Tomer; Feldman, Michal; Neyman, Eric; Talgam-Cohen, Inbal; Weinberg, Matt

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr15k0w
Abstract: We study the communication complexity of welfare maximization in combinatorial auctions with m items and two players with subadditive valuations. We show that outperforming the trivial 1/2-approximation requires exponential communication, settling an open problem of Dobzinski, Nisan and Schapira [STOC'05, MOR'10] and Feige [STOC'06, SICOMP '09]. To derive our results, we introduce a new class of subadditive functions that are “far from” fractionally subadditive (XOS) functions, and establish randomized communication lower bounds for a new “near-EQUALITY” problem, both of which may be of independent interest.
Publication Date: 2019
Citation: Ezra, Tomer, Michal Feldman, Eric Neyman, Inbal Talgam-Cohen, and Matt Weinberg. "Settling the Communication Complexity of Combinatorial Auctions with Two Subadditive Buyers." In Annual Symposium on Foundations of Computer Science (FOCS) (2019): pp. 249-272. doi:10.1109/FOCS.2019.00025
DOI: 10.1109/FOCS.2019.00025
ISSN: 1523-8288
EISSN: 2575-8454
Pages: 249 - 272
Type of Material: Conference Article
Journal/Proceeding Title: Annual Symposium on Foundations of Computer Science (FOCS)
Version: Author's manuscript



Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.