Proportional fairness in clustering: A social choice perspective
L Kellerhals, J Peters - arXiv preprint arXiv:2310.18162, 2023 - arxiv.org
We study the proportional clustering problem of Chen et al.[ICML'19] and relate it to the area
of multiwinner voting in computational social choice. We show that any clustering satisfying …
of multiwinner voting in computational social choice. We show that any clustering satisfying …
The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC
Instant buyers (iBuyers)—companies that buy and sell homes based on automated valuation
models (AVMs)—now hold more than 5% market share in some USA cities. In this work, we …
models (AVMs)—now hold more than 5% market share in some USA cities. In this work, we …
Towards Fairer Centroids in K-means Clustering
There has been much recent interest in developing fair clustering algorithms that seek to do
justice to the representation of groups defined along sensitive attributes such as race and …
justice to the representation of groups defined along sensitive attributes such as race and …
Fair Clustering: Critique, Caveats, and Future Directions
Clustering is a fundamental problem in machine learning and operations research.
Therefore, given the fact that fairness considerations have become of paramount importance …
Therefore, given the fact that fairness considerations have become of paramount importance …