Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes

10 November 2023

Papers citing "Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes"

4 / 4 papers shown

Title
Towards Fair Graph Representation Learning in Social Networks Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 21 0 0 15 Oct 2024
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 51 16 0 28 Oct 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 486 0 31 Dec 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016