ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.10431
  4. Cited By
Fairness without Imputation: A Decision Tree Approach for Fair
  Prediction with Missing Values

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

21 September 2021
Haewon Jeong
Hao Wang
Flavio du Pin Calmon
    FaML
ArXivPDFHTML

Papers citing "Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values"

5 / 5 papers shown
Title
Algorithmic Recourse with Missing Values
Algorithmic Recourse with Missing Values
Kentaro Kanamori
Takuya Takagi
Ken Kobayashi
Yuichi Ike
16
2
0
28 Apr 2023
Dealing with missing data using attention and latent space
  regularization
Dealing with missing data using attention and latent space regularization
J. Penny-Dimri
Christoph Bergmeir
Julian Smith
17
0
0
14 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
31
11
0
13 Aug 2022
Random Forest Missing Data Algorithms
Random Forest Missing Data Algorithms
Fei Tang
H. Ishwaran
48
515
0
19 Jan 2017
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
157
4,191
0
04 May 2011
1