Title
Inapproximability for VCG-based combinatorial auctions
Abstract
The existence of incentive-compatible, computationally-efficient mechanisms for combinatorial auctions with good approximation ratios is the paradigmatic problem in algorithmic mechanism design. It is believed that, in many cases, good approximations for combinatorial auctions may be unattainable due to an inherent clash between truthfulness and computational efficiency. In this paper, we prove the first computational-complexity in-approximability results for incentive-compatible mechanisms for combinatorial auctions. Our results are tight, hold for the important class of VCG-based mechanisms, and are based on the complexity assumption that NP has no polynomial-size circuits. We show two different techniques to obtain such lower bounds: one for deterministic mechanisms that attains optimal dependence on the number of players and number of items, and one that also applies to a class of randomized mechanisms and attains optimal dependence on the number of players. Both techniques are based on novel VC dimension machinery.
Year
DOI
Venue
2010
10.5555/1873601.1873646
SODA
Keywords
DocType
Volume
algorithmic mechanism design,vcg-based combinatorial auction,complexity assumption,optimal dependence,good approximation ratio,vcg-based mechanism,combinatorial auction,attains optimal dependence,important class,incentive-compatible mechanism,good approximation,computational complexity,incentive compatibility,lower bound
Conference
135
ISBN
Citations 
PageRank 
978-0-89871-698-6
30
1.33
References 
Authors
27
9
Name
Order
Citations
PageRank
Dave Buchfuhrer1492.18
Shaddin Dughmi241731.14
Hu Fu331023.33
Robert Kleinberg42886202.55
Elchanan Mossel51725145.16
Christos H. Papadimitriou6166713192.54
Michael Schapira7112279.89
Yaron Singer851637.15
Christopher Umans987955.36