English

Optimal Budget-Feasible Mechanisms for Additive Valuations

Computer Science and Game Theory 2020-07-22 v2

Abstract

In this paper, we show a tight approximation guarantee for budget-feasible mechanisms with an additive buyer. We propose a new simple randomized mechanism with approximation ratio of 22, improving the previous best known result of 33. Our bound is tight with respect to either the optimal offline benchmark, or its fractional relaxation. We also present a simple deterministic mechanism with the tight approximation guarantee of 33 against the fractional optimum, improving the best known result of (2+2)(2+ \sqrt{2}) for the weaker integral benchmark.

Keywords

Cite

@article{arxiv.1902.04635,
  title  = {Optimal Budget-Feasible Mechanisms for Additive Valuations},
  author = {Nick Gravin and Yaonan Jin and Pinyan Lu and Chenhao Zhang},
  journal= {arXiv preprint arXiv:1902.04635},
  year   = {2020}
}