Proportionally fair clustering

X Chen, B Fain, L Lyu… - … conference on machine …, 2019 - proceedings.mlr.press
We extend the fair machine learning literature by considering the problem of proportional
centroid clustering in a metric context. For clustering n points with k centers, we define …

Proportionally Fair Clustering

X Chen, B Fain, L Lyu, K Munagala - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
We extend the fair machine learning literature by considering the problem of proportional
centroid clustering in a metric context. For clustering $ n $ points with $ k $ centers, we …

Proportionally Fair Clustering

X Chen, B Fain, L Lyu, K Munagala - arXiv preprint arXiv:1905.03674, 2019 - arxiv.org
We extend the fair machine learning literature by considering the problem of proportional
centroid clustering in a metric context. For clustering $ n $ points with $ k $ centers, we …

[PDF][PDF] Proportionally Fair Clustering

X Chen, B Fain - icml.cc
Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala Department of Computer Science,
Duke University ICML 2019 Page 1 Proportionally Fair Clustering Xingyu Chen, Brandon …

[PDF][PDF] Proportionally Fair Clustering

X Chen, B Fain - pdfs.semanticscholar.org
Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala Department of Computer Science,
Duke University ICML 2019 Page 1 Proportionally Fair Clustering Xingyu Chen, Brandon …

Proportionally Fair Clustering

X Chen, B Fain, L Lyu… - … Conference on Machine …, 2019 - proceedings.mlr.press
We extend the fair machine learning literature by considering the problem of proportional
centroid clustering in a metric context. For clustering n points with k centers, we define …

[PDF][PDF] Proportionally Fair Clustering

X Chen, B Fain - icml.cc
Xingyu Chen, Brandon Fain, Liang Lyu, Kamesh Munagala Department of Computer Science,
Duke University ICML 2019 Page 1 Proportionally Fair Clustering Xingyu Chen, Brandon …