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To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair
  Training on Shared Models

To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models

29 February 2024
Cyrus Cousins
I. E. Kumar
Suresh Venkatasubramanian
    FedML
ArXivPDFHTML

Papers citing "To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models"

2 / 2 papers shown
Title
Adaptive Sampling for Minimax Fair Classification
Adaptive Sampling for Minimax Fair Classification
S. Shekhar
Greg Fields
Mohammad Ghavamzadeh
T. Javidi
FaML
35
36
0
01 Mar 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
305
4,203
0
23 Aug 2019
1