@inproceedings{bc2cef6de1954f05a2e75db044275990,
title = "Bayesian generalized network design",
abstract = "We study network coordination problems, as captured by the setting of generalized network design (Emek et al., STOC 2018), in the face of uncertainty resulting from partial information that the network users hold regarding the actions of their peers. This uncertainty is formalized using Alon et al.{\textquoteright}s Bayesian ignorance framework (TCS 2012). While the approach of Alon et al. is purely combinatorial, the current paper takes into account computational considerations: Our main technical contribution is the development of (strongly) polynomial time algorithms for local decision making in the face of Bayesian uncertainty.",
keywords = "Approximation algorithms, Bayesian competitive ratio, Bayesian ignorance, Best response dynamics, Diseconomies of scale, Energy consumption, Generalized network design, Smoothness",
author = "Yuval Emek and Shay Kutten and Ron Lavi and Yangguang Shi",
note = "Publisher Copyright: {\textcopyright} Yuval Emek, Shay Kutten, Ron Lavi, and Yangguang Shi.; 27th Annual European Symposium on Algorithms, ESA 2019 ; Conference date: 09-09-2019 Through 11-09-2019",
year = "2019",
month = sep,
doi = "https://doi.org/10.4230/LIPIcs.ESA.2019.45",
language = "الإنجليزيّة",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
editor = "Bender, {Michael A.} and Ola Svensson and Grzegorz Herman",
booktitle = "27th Annual European Symposium on Algorithms, ESA 2019",
}