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Measuring Fairness Under Unawareness of Sensitive Attributes: A
  Quantification-Based Approach

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach

17 September 2021
Alessandro Fabris
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
ArXivPDFHTML

Papers citing "Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach"

13 / 13 papers shown
Title
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of
  Demographic Data Collection in the Pursuit of Fairness
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
Mckane Andrus
Sarah Villeneuve
FaML
56
50
0
18 Apr 2022
Fairness Indicators for Systematic Assessments of Visual Feature
  Extractors
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Priya Goyal
Adriana Romero Soriano
C. Hazirbas
Levent Sagun
Nicolas Usunier
EGVM
43
31
0
15 Feb 2022
Estimation of Fair Ranking Metrics with Incomplete Judgments
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kirnap
Fernando Diaz
Asia J. Biega
Michael D. Ekstrand
Ben Carterette
Emine Yilmaz
35
37
0
11 Aug 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple
  Large-Scale Tasks
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
...
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
UQCV
OOD
69
129
0
15 Jul 2021
When Fair Ranking Meets Uncertain Inference
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh
Ritam Dutt
Christo Wilson
71
44
0
05 May 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
56
57
0
16 Feb 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
103
53
0
05 Jan 2021
Fair Classification with Group-Dependent Label Noise
Fair Classification with Group-Dependent Label Noise
Jialu Wang
Yang Liu
Caleb C. Levy
NoLa
30
103
0
31 Oct 2020
ProPublica's COMPAS Data Revisited
ProPublica's COMPAS Data Revisited
M. Barenstein
FaML
34
51
0
11 Jun 2019
Fairness-Aware Ranking in Search & Recommendation Systems with
  Application to LinkedIn Talent Search
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
S. Geyik
Stuart Ambler
K. Kenthapadi
67
380
0
30 Apr 2019
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
133
1,094
0
06 Mar 2018
Empirical Risk Minimization under Fairness Constraints
Empirical Risk Minimization under Fairness Constraints
Michele Donini
L. Oneto
Shai Ben-David
John Shawe-Taylor
Massimiliano Pontil
FaML
71
443
0
23 Feb 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
44
990
0
27 Mar 2017
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