Uncertainty in Fairness Assessment: Maintaining Stable Conclusions
Despite Fluctuations

Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations

2 February 2023

Ainhize Barrainkua

Paula Gordaliza

Novi Quadrianto

Papers citing "Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations"

14 / 14 papers shown

Title
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 55 248 0 15 Nov 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 47 46 0 19 Oct 2020
Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano Stephen Bates Emmanuel J. Candès FaML 20 49 0 08 Jun 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 27 65 0 31 Mar 2020
Bayesian Modeling of Intersectional Fairness: The Variance of Bias James R. Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan 29 40 0 18 Nov 2018
Confidence Intervals for Testing Disparate Impact in Fair Learning Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes CML 26 17 0 17 Jul 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 106 1,094 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 71 443 0 23 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 83 639 0 13 Feb 2018
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 108 1,204 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 97 4,276 0 07 Oct 2016
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 42 419 0 14 Jun 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 104 1,978 0 11 Dec 2014
Asymptotics and optimal bandwidth selection for highest density region estimation R. Samworth M. Wand 55 55 0 04 Oct 2010