Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

2 March 2021

Papers citing "Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints"

4 / 4 papers shown

Title
A Polynomial-Time Approximation for Pairwise Fair $k$ -Median Clustering Sayan Bandyapadhyay E. Chlamtác Yu. S. Makarychev A. Vakilian Yury Makarychev Ali Vakilian 48 1 0 16 May 2024
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 27 0 0 14 Dec 2023
Efficient Algorithms For Fair Clustering with a New Fairness Notion Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 70 8 0 02 Sep 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018