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20232026
most citedUnderstanding the Cluster LP for Correlation Clustering

10 citations · 14 across the 13 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.DS2024

Min-CSPs on Complete Instances

Aditya Anand, Euiwoong Lee, Amatya Sharma

Given a fixed arity , Min--CSP on complete instances involves a set of variables and one nontrivial constraint for every -subset of variables (so there are…

cs.CC2024

Asymptotically Optimal Hardness for -Set Packing and -Matroid Intersection

Euiwoong Lee, Ola Svensson, Theophile Thiery

For any , we prove that -Dimensional Matching is hard to approximate within a factor of for large unless $\textsf{NP} \subseteq \text…

cs.DS2024★ 1 cited

Unbreakable Decomposition in Close-to-Linear Time

Aditya Anand, Euiwoong Lee, Jason Li +2

Unbreakable decomposition, introduced by Cygan et al. (SICOMP'19) and Cygan et al. (TALG'20), has proven to be one of the most powerful tools for parameterized graph cut problems i…

cs.CC2024

On Equivalence of Parameterized Inapproximability of k-Median, k-Max-Coverage, and 2-CSP

Karthik C. S., Euiwoong Lee, Pasin Manurangsi

Parameterized Inapproximability Hypothesis (PIH) is a central question in the field of parameterized complexity. PIH asserts that given as input a 2-CSP on variables and alphab…

cs.DS2024★ 10 cited

Understanding the Cluster LP for Correlation Clustering

Nairen Cao, Vincent Cohen-Addad, Euiwoong Lee +3

In the classic Correlation Clustering problem introduced by Bansal, Blum, and Chawla (FOCS 2002), the input is a complete graph where edges are labeled either or , and the g…

cs.DS2024★ 1 cited

Approximating Small Sparse Cuts

Aditya Anand, Euiwoong Lee, Jason Li +1

We study polynomial-time approximation algorithms for (edge/vertex) Sparsest Cut and Small Set Expansion in terms of , the number of edges or vertices cut in the optimal solutio…

cs.DS2024

Max-Cut with -Accurate Predictions

Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta +2

We study the approximability of the MaxCut problem in the presence of predictions. Specifically, we consider two models: in the noisy predictions model, for each vertex we are give…

cs.DS2024

Separating -Median from the Supplier Version

Aditya Anand, Euiwoong Lee

Given a metric space along with an integer , the -Median problem asks to open centers to minimize , where $d(v, C) := \mi…