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Fairness Perceptions in Regression-based Predictive Models
v1v2 (latest)

Fairness Perceptions in Regression-based Predictive Models

8 May 2025
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
Morgan Stuart
Casey Canfield
ArXiv (abs)PDFHTML

Papers citing "Fairness Perceptions in Regression-based Predictive Models"

9 / 9 papers shown
Title
Learning Social Fairness Preferences from Non-Expert Stakeholder
  Opinions in Kidney Placement
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney PlacementACM Conference on Health, Inference, and Learning (CHIL), 2024
Mukund Telukunta
Sukruth Rao
Gabriella Stickney
Venkata Sriram Siddhardh Nadendla
Casey Canfield
222
1
0
04 Apr 2024
Fair Regression with Wasserstein Barycenters
Fair Regression with Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2020
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
288
122
0
12 Jun 2020
Fairness Measures for Regression via Probabilistic Classification
Fairness Measures for Regression via Probabilistic Classification
D. Steinberg
Alistair Reid
S. O'Callaghan
FaML
124
18
0
16 Jan 2020
Fair Regression: Quantitative Definitions and Reduction-based Algorithms
Fair Regression: Quantitative Definitions and Reduction-based AlgorithmsInternational Conference on Machine Learning (ICML), 2019
Alekh Agarwal
Miroslav Dudík
Zhiwei Steven Wu
FaML
191
285
0
30 May 2019
The Frontiers of Fairness in Machine Learning
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
296
434
0
20 Oct 2018
On the Properties of the Softmax Function with Application in Game
  Theory and Reinforcement Learning
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao
Lacra Pavel
FAtt
360
349
0
03 Apr 2017
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
772
2,254
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised LearningNeural Information Processing Systems (NeurIPS), 2016
Moritz Hardt
Eric Price
Nathan Srebro
FaML
370
4,773
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
604
1,918
0
19 Sep 2016
1