Approximating Fair Clustering with Cascaded Norm Objectives
Approximating Fair Clustering with Cascaded Norm Objectives
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使用级联规范目标近似公平聚类
DOI:
10.1137/1.9781611977073.104
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Vakilian, Ali
中科院分区:
文献类型:
--
作者:
Chlamtáč, Eden;Makarychev, Yury;Vakilian, Ali
We introduce the (p, q)-Fair Clustering problem. In this problem, we are given a set of pointsPand a collection of different weight functionsW. We would like to find a clustering which minimizes theℓq-norm of the vector overWof theℓp-norms of the weighted distances of points inPfrom the centers. This generalizes various clustering problems, including Socially Fairk-Median andk-Means, and is closely connected to other problems such as Densestk-Subgraph and Mink-Union.We utilize convex programming techniques to approximate the (p, q)-Fair Clustering problem for different values ofpandq. Whenp≥q, we get anO(k(p–q)/(2pq)), which nearly matches akΩ((p–q)/(pq))lower bound based on conjectured hardness of Mink-Union and other problems. Whenq≥p, we get an approximation which is independent of the size of the input for boundedp,q, and also matches the recentO((logn/(log logn))1/p)-approximation for (p, ∞)-Fair Clustering by Makarychev and Vakilian (COLT 2021).
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DOI:
10.1145/3442188.3445906
发表时间:
2020-10
期刊:
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
影响因子:
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作者:
Mehrdad Ghadiri;S. Samadi;S. Vempala
通讯作者:
Mehrdad Ghadiri;S. Samadi;S. Vempala
DOI:
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发表时间:
2019-05
期刊:
--
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作者:
Xingyu Chen;Brandon Fain;Charles Lyu;Kamesh Munagala
通讯作者:
Xingyu Chen;Brandon Fain;Charles Lyu;Kamesh Munagala
DOI:
--
发表时间:
2021
期刊:
arXiv.org
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作者:
Dishant Goyal;Ragesh Jaiswal
通讯作者:
Ragesh Jaiswal
DOI:
10.4230/lipics.approx-random.2016.6
发表时间:
2016-05
期刊:
ArXiv
影响因子:
--
作者:
E. Chlamtác;M. Dinitz;C. Konrad;G. Kortsarz;George Rabanca
通讯作者:
E. Chlamtác;M. Dinitz;C. Konrad;G. Kortsarz;George Rabanca
DOI:
--
发表时间:
2013
期刊:
Scandinavian Workshop on Algorithm Theory
影响因子:
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作者:
Sayan Bhattacharya;Parinya Chalermsook;K. Mehlhorn;Adrian Neumann
通讯作者:
Adrian Neumann