Disentangled Representation with Causal Constraints for Counterfactual
Fairness

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Disentangled Representation with Causal Constraints for Counterfactual Fairness

19 August 2022

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Papers citing "Disentangled Representation with Causal Constraints for Counterfactual Fairness"

11 / 11 papers shown

Title
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim Seungjae Shin Joonho Jang Kyungwoo Song Weonyoung Joo Wanmo Kang Il-Chul Moon BDL CML 74 57 0 24 Nov 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 89 97 0 12 Mar 2020
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 190 334 0 06 Jun 2019
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 80 340 0 22 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 684 0 17 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 64 1,356 0 16 Feb 2018
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,586 0 20 Mar 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 58 174 0 22 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 636 0 03 Nov 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 206 1,993 0 11 Dec 2014

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