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 , improving the previous best known result of . 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 against the fractional optimum, improving the best known result of 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}
}