English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Maximizing Nash Social Welfare in 2-Value Instances

Akrami, H., Ray Chaudhury, B., Hoefer, M., Mehlhorn, K., Schmalhofer, M., Shahkarami, G., et al. (2022). Maximizing Nash Social Welfare in 2-Value Instances. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 4760-4767). Palo Alto, CA: AAAI. doi:10.1609/aaai.v36i5.20402.

Item is

Basic

hide
Genre: Conference Paper
Latex : Maximizing {N}ash Social Welfare in 2-Value Instances

Files

show Files

Locators

hide
Description:
-
OA-Status:
Not specified

Creators

hide
 Creators:
Akrami, Hannaneh1, Author           
Ray Chaudhury, Bhaskar2, Author           
Hoefer, Martin2, Author           
Mehlhorn, Kurt1, Author                 
Schmalhofer, Marco2, Author
Shahkarami, Golnoosh1, Author           
Varricchio, Giovanna2, Author
Vermande, Quentin2, Author
van Wijland, Ernest2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

Content

show

Details

hide
Language(s): eng - English
 Dates: 2021-05-062022
 Publication Status: Published online
 Pages: 9 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: AkramiAAAI22
DOI: 10.1609/aaai.v36i5.20402
 Degree: -

Event

hide
Title: 36th AAAI Conference on Artificial Intelligence
Place of Event: Virtual Conference
Start-/End Date: 2022-02-22 - 2022-03-01

Legal Case

show

Project information

show

Source 1

hide
Title: Proceedings of the 36th AAAI Conference on Artificial Intelligence
  Abbreviation : AAAI 2022
  Subtitle : AAAI-22 Technical Tracks 5
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Palo Alto, CA : AAAI
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4760 - 4767 Identifier: ISBN: 978-1-57735-876-3