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Machine learning fairness notions: Bridging the gap with real-world applications

30 June 2020

Papers citing "Machine learning fairness notions: Bridging the gap with real-world applications"

30 / 30 papers shown

Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 159 0 0 10 Nov 2024
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 291 497 0 31 Dec 2020
FACT: A Diagnostic for Group Fairness Trade-offs Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 60 15 0 07 Apr 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 68 311 0 14 Dec 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 107 118 0 20 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 568 4,353 0 23 Aug 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 53 247 0 30 May 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 57 96 0 27 Mar 2019
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 69 170 0 04 Jun 2018
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 59 85 0 08 Mar 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 87 145 0 08 Mar 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 80 340 0 22 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 109 645 0 13 Feb 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 197 778 0 14 Nov 2017
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 159 211 0 09 Oct 2017
Fairness Testing: Testing Software for Discrimination Sainyam Galhotra Yuriy Brun A. Meliou 69 378 0 11 Sep 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 115 583 0 08 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 51 998 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,580 0 20 Mar 2017
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network Afshin Dehghan E. Ortiz Guang Shu Syed Zain Masood 37 100 0 14 Feb 2017
Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135) Xiaolin Wu Xi Zhang CVBM 57 108 0 13 Nov 2016
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 75 203 0 09 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 201 1,208 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,114 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,312 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 119 1,775 0 19 Sep 2016
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 73 196 0 21 May 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination Amit Datta Michael Carl Tschantz Anupam Datta 72 734 0 27 Aug 2014
Direct and Indirect Effects Judea Pearl CML 94 2,173 0 10 Jan 2013