CONFAIR: Configurable and Interpretable Algorithmic Fairness

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CONFAIR: Configurable and Interpretable Algorithmic Fairness

17 November 2021

Ankit Kulshrestha

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Papers citing "CONFAIR: Configurable and Interpretable Algorithmic Fairness"

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Title
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines Ehsan Sadrfaridpour Korey Palmer Ilya Safro 36 5 0 05 Nov 2020
Fair Hierarchical Clustering Sara Ahmadian Alessandro Epasto Marina Knittel Ravi Kumar Mohammad Mahdian Benjamin Moseley Philip Pham Sergei Vassilvtiskii Yuyan Wang FaML 63 47 0 18 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 81 396 0 21 Jan 2020
Clustering without Over-Representation Sara Ahmadian Alessandro Epasto Ravi Kumar Mohammad Mahdian 52 102 0 29 May 2019
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 82 445 0 23 Feb 2018
Fair Clustering Through Fairlets Flavio Chierichetti Ravi Kumar Silvio Lattanzi Sergei Vassilvitskii FaML 83 437 0 15 Feb 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 207 882 0 06 Sep 2017
Decoupled classifiers for fair and efficient machine learning Cynthia Dwork Nicole Immorlica Adam Tauman Kalai Max D. M. Leiserson FaML 74 43 0 20 Jul 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 220 417 0 06 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 210 1,214 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 86 198 0 21 May 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 237 946 0 11 Feb 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 215 1,996 0 11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination Amit Datta Michael Carl Tschantz Anupam Datta 87 735 0 27 Aug 2014