Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

26 October 2016

Muhammad Bilal Zafar

Isabel Valera

Manuel Gomez Rodriguez

Krishna P. Gummadi

FaML

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Papers citing "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"

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Title
Paradoxes in Fair Computer-Aided Decision Making Andrew Morgan R. Pass FaML 31 9 0 29 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 22 215 0 17 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 48 770 0 14 Nov 2017
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation S. Tan R. Caruana Giles Hooker Yin Lou MLAU 28 180 0 17 Oct 2017
Two-stage Algorithm for Fairness-aware Machine Learning Junpei Komiyama Hajime Shimao FaML 14 22 0 13 Oct 2017
Provably Fair Representations D. McNamara Cheng Soon Ong Robert C. Williamson FaML 6 55 0 12 Oct 2017
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 33 211 0 09 Oct 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 47 869 0 06 Sep 2017
Penalizing Unfairness in Binary Classification Yahav Bechavod Katrina Ligett FaML 21 69 0 30 Jun 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 33 207 0 30 Jun 2017
On Fairness, Diversity and Randomness in Algorithmic Decision Making Nina Grgic-Hlaca Muhammad Bilal Zafar Krishna P. Gummadi Adrian Weller FaML 19 40 0 30 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 66 578 0 08 Jun 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 25 341 0 07 Jun 2017
The cost of fairness in classification A. Menon Robert C. Williamson FaML 24 20 0 25 May 2017
Optimized Data Pre-Processing for Discrimination Prevention Flavio du Pin Calmon Dennis L. Wei Karthikeyan N. Ramamurthy Kush R. Varshney 17 59 0 11 Apr 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 123 1,560 0 20 Mar 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 54 583 0 10 Mar 2017
Learning Non-Discriminatory Predictors Blake E. Woodworth Suriya Gunasekar Mesrob I. Ohannessian Nathan Srebro FaML 15 4 0 20 Feb 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 30 198 0 09 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FedML FaML 28 54 0 29 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015