FNNC: Achieving Fairness through Neural Networks

1 November 2018

Papers citing "FNNC: Achieving Fairness through Neural Networks"

7 / 7 papers shown

Title
Machine Learning Fairness for Depression Detection using EEG Data Angus Man Ho Kwok Jiaee Cheong Sinan Kalkan Hatice Gunes 64 1 0 30 Jan 2025
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,100 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 681 0 17 Feb 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 49 994 0 27 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 297 2,109 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 194 1,984 0 11 Dec 2014