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A causal framework for discovering and removing direct and indirect discrimination

A causal framework for discovering and removing direct and indirect discrimination

Lu Zhang
Yongkai Wu
Xintao Wu
    CML
ArXivPDFHTML

Papers citing "A causal framework for discovering and removing direct and indirect discrimination"

4 / 4 papers shown
Title
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Sourbh Bhadane
Joris Mooij
Philip A. Boeken
O. Zoeter
130
0
0
17 Feb 2025
Detecting clinician implicit biases in diagnoses using proximal causal inference
Detecting clinician implicit biases in diagnoses using proximal causal inference
Kara Liu
Russ Altman
Vasilis Syrgkanis
CML
76
0
0
27 Jan 2025
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
185
1,984
0
11 Dec 2014
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
115
604
0
14 Nov 2012

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