A survey on datasets for fairness-aware machine learning

A survey on datasets for fairness-aware machine learning

1 October 2021

Vasileios Iosifidis

Wenbin Zhang

Papers citing "A survey on datasets for fairness-aware machine learning"

17 / 67 papers shown

Title
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 126 1,094 0 06 Mar 2018
Fair Clustering Through Fairlets Flavio Chierichetti Ravi Kumar Silvio Lattanzi Sergei Vassilvitskii FaML 47 430 0 15 Feb 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 88 639 0 13 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 109 1,373 0 22 Jan 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 104 775 0 14 Nov 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 97 342 0 07 Jun 2017
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs Anupam Datta Matt Fredrikson Gihyuk Ko Piotr (Peter) Mardziel S. Sen 35 63 0 22 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 184 1,566 0 20 Mar 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 123 1,205 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 285 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 120 4,276 0 07 Oct 2016
A Confidence-Based Approach for Balancing Fairness and Accuracy Benjamin Fish Jeremy Kun Á. Lelkes FaML 127 248 0 21 Jan 2016
Learning Discrete Bayesian Networks from Continuous Data Yi-Chun Chen T. Wheeler Mykel John Kochenderfer 77 60 0 08 Dec 2015
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 35 196 0 21 May 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 127 1,978 0 11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination Amit Datta Michael Carl Tschantz Anupam Datta 45 731 0 27 Aug 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 263 25,443 0 09 Jun 2011