ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(19. August 2023):
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
pp. 6964-6968
Abstract
Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Faculties: | Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning |
Subjects: | 000 Computer science, information and general works > 000 Computer science, knowledge, and systems |
Language: | English |
Item ID: | 107476 |
Date Deposited: | 22. Oct 2023 15:06 |
Last Modified: | 22. Nov 2024 09:45 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 160364472 |