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Avoiding Disparity Amplification under Different Worldviews
v1v2v3v4v5v6v7 (latest)

Avoiding Disparity Amplification under Different Worldviews

26 August 2018
Samuel Yeom
Michael Carl Tschantz
ArXiv (abs)PDFHTML

Papers citing "Avoiding Disparity Amplification under Different Worldviews"

12 / 12 papers shown
Title
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
217
0
0
10 Jan 2025
Interventional Fairness on Partially Known Causal Graphs: A Constrained
  Optimization Approach
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo
Yiqing Li
Susan Wei
Biwei Huang
FaML
72
6
0
19 Jan 2024
Counterfactual Fairness with Partially Known Causal Graph
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo
Susan Wei
Tongliang Liu
Bo Han
Kun Zhang
Biwei Huang
OODFaML
65
19
0
27 May 2022
On Learning and Testing of Counterfactual Fairness through Data
  Preprocessing
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Haoyu Chen
Wenbin Lu
R. Song
Pulak Ghosh
FaML
69
6
0
25 Feb 2022
BeFair: Addressing Fairness in the Banking Sector
BeFair: Addressing Fairness in the Banking Sector
Alessandro Castelnovo
Riccardo Crupi
Giulia Del Gamba
Greta Greco
A. Naseer
D. Regoli
Beatriz San Miguel González
FaML
48
16
0
03 Feb 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity
Debarghya Mukherjee
Mikhail Yurochkin
Yuekai Sun
153
24
0
06 Nov 2020
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted
  Decision-making
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Charvi Rastogi
Yunfeng Zhang
Dennis L. Wei
Kush R. Varshney
Amit Dhurandhar
Richard J. Tomsett
HAI
128
115
0
15 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware
  machine learning algorithms
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
Gareth Jones
James M. Hickey
Pietro G. Di Stefano
C. Dhanjal
Laura C. Stoddart
V. Vasileiou
FaML
60
21
0
08 Oct 2020
Fairness Under Feature Exemptions: Counterfactual and Observational
  Measures
Fairness Under Feature Exemptions: Counterfactual and Observational Measures
Sanghamitra Dutta
Praveen Venkatesh
Piotr (Peter) Mardziel
Anupam Datta
P. Grover
51
17
0
14 Jun 2020
Fairness by Explicability and Adversarial SHAP Learning
Fairness by Explicability and Adversarial SHAP Learning
James M. Hickey
Pietro G. Di Stefano
V. Vasileiou
FAttFedML
123
19
0
11 Mar 2020
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Avrim Blum
Kevin Stangl
FaML
61
87
0
02 Dec 2019
Fairness criteria through the lens of directed acyclic graphical models
Fairness criteria through the lens of directed acyclic graphical models
Benjamin R. Baer
Daniel E. Gilbert
M. Wells
FaML
72
6
0
26 Jun 2019
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