Fairness in Supervised Learning: An Information Theoretic Approach

13 January 2018

Papers citing "Fairness in Supervised Learning: An Information Theoretic Approach"

6 / 6 papers shown

Title
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 35 0 0 10 Jul 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 38 6 0 21 Apr 2024
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 30 12 0 09 Sep 2021
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Fairness risk measures Robert C. Williamson A. Menon FaML 33 135 0 24 Jan 2019