<div class="csl-bib-body">
<div class="csl-entry">Lüderssen, S. J., Bercea, I.-O., & Neumann, S. (2026). Instance-Specific Approximation Ratios for Correlation Clustering and Max-Cut. In <i>Forty-third International Conference on Machine Learning : ICML 2026</i>. Forty-Third International Conference on Machine Learning (ICML 2026), Seoul, Korea (the Republic of).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/230091
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dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.language.iso
en
-
dc.subject
algorithms
en
dc.subject
correlation clustering
en
dc.subject
max-cut
en
dc.title
Instance-Specific Approximation Ratios for Correlation Clustering and Max-Cut
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
KTH Royal Institute of Technology, Sweden
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dc.relation.grantno
VRG23-013
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Forty-third International Conference on Machine Learning : ICML 2026
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tuw.peerreviewed
true
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tuw.project.title
Towards Trustworthy Recommendation Systems for Online Social Networks
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tuw.researchTopic.id
C4
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E194-06 - Forschungsbereich Machine Learning
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tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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dc.description.numberOfPages
19
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tuw.author.orcid
0009-0002-5698-1250
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tuw.author.orcid
0000-0001-8430-2441
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tuw.event.name
Forty-Third International Conference on Machine Learning (ICML 2026)
en
tuw.event.startdate
06-07-2026
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tuw.event.enddate
11-07-2026
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tuw.event.online
On Site
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tuw.event.place
Seoul
-
tuw.event.country
KR
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tuw.event.presenter
Lüderssen, Sebastian Johannes
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
5020
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90
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10
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none
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http://purl.org/coar/resource_type/c_5794
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no Fulltext
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en
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conference paper
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Publications
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E194-06 - Forschungsbereich Machine Learning
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crisitem.author.dept
KTH Royal Institute of Technology, Sweden
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crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
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0009-0002-5698-1250
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crisitem.author.orcid
0000-0001-8430-2441
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E194 - Institut für Information Systems Engineering
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
