April 26, 2024, 4:42 a.m. | Atsushi Miyauchi, Florian Adriaens, Francesco Bonchi, Nikolaj Tatti

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.16676v1 Announce Type: cross
Abstract: In this paper, we establish Multilayer Correlation Clustering, a novel generalization of Correlation Clustering (Bansal et al., FOCS '02) to the multilayer setting. In this model, we are given a series of inputs of Correlation Clustering (called layers) over the common set $V$. The goal is then to find a clustering of $V$ that minimizes the $\ell_p$-norm ($p\geq 1$) of the disagreements vector, which is defined as the vector (with dimension equal to the number …

abstract arxiv bansal clustering correlation cs.ds cs.lg inputs novel paper series set type

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Data Scientist (Database Development)

@ Nasdaq | Bengaluru-Affluence