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Fairness in Missing Data Imputation

Fairness in Missing Data Imputation

22 October 2021
Yiliang Zhang
Q. Long
ArXivPDFHTML

Papers citing "Fairness in Missing Data Imputation"

8 / 8 papers shown
Title
The influence of missing data mechanisms and simple missing data handling techniques on fairness
Aeysha Bhatti
Trudie Sandrock
Johane Nienkemper-Swanepoel
FaML
71
0
0
10 Mar 2025
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Falaah Arif Khan
Denys Herasymuk
Nazar Protsiv
Julia Stoyanovich
VLM
33
0
0
11 Sep 2024
Adapting Fairness Interventions to Missing Values
Adapting Fairness Interventions to Missing Values
R. Feng
Flavio du Pin Calmon
Hao Wang
FaML
26
10
0
30 May 2023
MISNN: Multiple Imputation via Semi-parametric Neural Networks
MISNN: Multiple Imputation via Semi-parametric Neural Networks
Zhiqi Bu
Zongyu Dai
Yiliang Zhang
Q. Long
30
0
0
02 May 2023
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph
  Node Classifiers
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor
Sarwan Ali
Shafiq Alam
Muhammad Asad Khan
U. Hassan
Imdadullah Khan
FaML
19
5
0
01 Nov 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Vincent Jeanselme
Maria De-Arteaga
Zhe Zhang
Jessica Barrett
Brian D. M. Tom
FaML
35
11
0
13 Aug 2022
Assessing Fairness in the Presence of Missing Data
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang
Q. Long
FaML
31
35
0
07 Dec 2021
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,222
0
04 May 2011
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