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Debiasing classifiers: is reality at variance with expectation?

Debiasing classifiers: is reality at variance with expectation?

4 November 2020
Ashrya Agrawal
Florian Pfisterer
B. Bischl
Francois Buet-Golfouse
Srijan Sood
Jiahao Chen
Sameena Shah
Sebastian J. Vollmer
    CML
    FaML
ArXivPDFHTML

Papers citing "Debiasing classifiers: is reality at variance with expectation?"

4 / 4 papers shown
Title
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
Fair Enough: Searching for Sufficient Measures of Fairness
Fair Enough: Searching for Sufficient Measures of Fairness
Suvodeep Majumder
Joymallya Chakraborty
Gina R. Bai
Kathryn T. Stolee
Tim Menzies
11
26
0
25 Oct 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
299
4,203
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
198
2,082
0
24 Oct 2016
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