Sep 2, 2021 · In this paper, we propose a new notion of fairness, which we call tau-fair fairness, that strictly generalizes the balance property and enables ...

Mar 20, 2023 · In this paper, we propose a new notion of fairness which we call -ratio fairness, that strictly generalizes the Balance property and enables a fine-grained ...

In this paper, we propose a new notion of fairness which we call τ -ratio fairness, that strictly generalizes the Balance property and enables a fine-grained ...

In this paper, we propose a new notion of fairness, which we call $tau$-fair fairness, that strictly generalizes the balance property and enables a fine-grained ...

Efficient algorithms for fair clustering with a new notion of fairness ... We also propose a heuristic algorithm, Fair Round-Robin Algorithm for Clustering ...

May 29, 2023 · This paper considers the problem of group fairness in clustering. We propose a new fairness notion which strictly generalizes exist- ing notions ...

Journal Publications. Shivam Gupta, Ganesh Ghalme, Narayanan C Krishnan, Shweta Jain. Efficient Algorithms for Fair Clustering with a New Fairness Notion.

May 30, 2023 · This paper considers the problem of group fairness in clustering. We propose a new fairness notion which strictly generalizes existing ...

This work presents the first constant-factor approximation algorithm for the metric k-median problem, and improves upon the best previously known result.

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