English

99% Revenue with Constant Enhanced Competition

Computer Science and Game Theory 2021-05-19 v1 Data Structures and Algorithms

Abstract

The enhanced competition paradigm is an attempt at bridging the gap between simple and optimal auctions. In this line of work, given an auction setting with mm items and nn bidders, the goal is to find the smallest nnn' \geq n such that selling the items to nn' bidders through a simple auction generates (almost) the same revenue as the optimal auction. Recently, Feldman, Friedler, and Rubinstein [EC, 2018] showed that an arbitrarily large constant fraction of the optimal revenue from selling mm items to a single bidder can be obtained via simple auctions with a constant number of bidders. However, their techniques break down even for two bidders, and can only show a bound of n=nO(logmn)n' = n \cdot O(\log \frac{m}{n}). Our main result is that n=O(n)n' = O(n) bidders suffice for all values of mm and nn. That is, we show that, for all mm and nn, an arbitrarily large constant fraction of the optimal revenue from selling mm items to nn bidders can be obtained via simple auctions with O(n)O(n) bidders. Moreover, when the items are regular, we can achieve the same result through auctions that are prior-independent, {\em i.e.}, they do not depend on the distribution from which the bidders' valuations are sampled.

Keywords

Cite

@article{arxiv.2105.08292,
  title  = {99% Revenue with Constant Enhanced Competition},
  author = {Linda Cai and Raghuvansh R. Saxena},
  journal= {arXiv preprint arXiv:2105.08292},
  year   = {2021}
}

Comments

Accepted to Economic and Computing 2021

R2 v1 2026-06-24T02:12:35.461Z