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Arnold Filtser

2 accepted papers

2025

Faster Approximation Algorithms for k-Center via Data Reduction

ICML 2025poster

We study efficient algorithms for the Euclidean $k$-Center problem, focusing on the regime of large $k$. We take the approach of data reduction by considering $\alpha$-coreset, which is a small subset $S$ of the dataset $P$ such that any $\beta$-approximation on $S$ is an $(\alpha + \beta)$-approxim…

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