Metric-Free Individual Fairness in Online Learning

13 February 2020

Papers citing "Metric-Free Individual Fairness in Online Learning"

6 / 6 papers shown

Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 84 3 0 10 Jun 2024
An Algorithmic Framework for Fairness Elicitation Christopher Jung Michael Kearns Seth Neel Aaron Roth Logan Stapleton Zhiwei Steven Wu FedML FaML 29 56 0 25 May 2019
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 95 413 0 20 Oct 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 86 1,094 0 06 Mar 2018
Online Convex Optimization with Stochastic Constraints Hao Yu M. Neely Xiaohan Wei 55 222 0 12 Aug 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 73 1,762 0 19 Sep 2016