Mechanisms for Multi-Unit Auctions
Not on the map. Why?
Abstract (arXiv)
We present an incentive-compatible polynomial-time approximation scheme for multi-unit auctions with general k-minded player valuations. The mechanism fully optimizes over an appropriately chosen sub-range of possible allocations and then uses VCG payments over this sub-range. We show that obtaining a fully polynomial-time incentive-compatible approximation scheme, at least using VCG payments, is NP-hard. For the case of valuations given by black boxes, we give a polynomial-time incentive-compatible 2-approximation mechanism and show that no better is possible, at least using VCG payments.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jan 2014.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 2.
3 papers.
- 2022Adaptive Oracle-Efficient Online Learningcited by 7
- 2023Learning and Collusion in Multi-unit Auctionscited by 5
- 2023Learning in Repeated Multi-Unit Pay-As-Bid Auctionscited by 3
- 2023Learning in Repeated Multi-Unit Pay-As-Bid Auctions27 Jul 2023
- 2023Learning and Collusion in Multi-unit Auctions27 May 2023
- 2022Adaptive Oracle-Efficient Online Learning17 Oct 2022