Better Algorithms for Individually Fair -Clustering

M Negahbani, D Chakrabarty - Advances in Neural …, 2021 - proceedings.neurips.cc
We study data clustering problems with $\ell_p $-norm objectives (eg\textsc {$ k $-Median}
and\textsc {$ k $-Means}) in the context of individual fairness. The dataset consists of $ n …
被引用次数：43 相关文章

Better Algorithms for Individually Fair -Clustering

M Negahbani, D Chakrabarty - Advances in Neural …, 2021 - proceedings.neurips.cc
We study data clustering problems with $\ell_p $-norm objectives (eg\textsc {$ k $-Median}
and\textsc {$ k $-Means}) in the context of individual fairness. The dataset consists of $ n …

Better algorithms for individually fair k-clustering

D Chakrabarty, M Negahbani - … of the 35th International Conference on …, 2021 - dl.acm.org
We study data clustering problems with ℓ p-norm objectives (eg k-MEDIAN and k-MEANS) in
the context of individual fairness. The dataset consists of n points, and we want to find k …
[PDF] nsf.gov

[PDF][PDF] Better Algorithms for Individually Fair k-Clustering

D Chakrabarty, M Negahbani - 35th Conference on Neural Information …, 2021 - par.nsf.gov
We study data clustering problems with ℓp-norm objectives (eg kM EDIAN and kM EANS) in
the context of individual fairness. The dataset consists of n points, and we want to find k …

Better Algorithms for Individually Fair -Clustering

D Chakrabarty, M Negahbani - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
We study data clustering problems with $\ell_p $-norm objectives (eg $ k $-Median and $ k $-
Means) in the context of individual fairness. The dataset consists of $ n $ points, and we …

Better Algorithms for Individually Fair -Clustering

D Chakrabarty, M Negahbani - arXiv preprint arXiv:2106.12150, 2021 - arxiv.org
We study data clustering problems with $\ell_p $-norm objectives (eg $ k $-Median and $ k $-
Means) in the context of individual fairness. The dataset consists of $ n $ points, and we …

Better Algorithms for Individually Fair -Clustering

M Negahbani, D Chakrabarty - Advances in Neural Information Processing … - openreview.net
We study data clustering problems with $\ell_p $-norm objectives (eg\textsc {$ k $-Median}
and\textsc {$ k $-Means}) in the context of individual fairness. The dataset consists of $ n …