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FLEA: Provably Robust Fair Multisource Learning from Unreliable Training
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FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data

22 June 2021
Eugenia Iofinova
Nikola Konstantinov
Christoph H. Lampert
    FaML
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Papers citing "FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data"

2 / 2 papers shown
Title
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
294
4,187
0
23 Aug 2019
New Analysis and Algorithm for Learning with Drifting Distributions
New Analysis and Algorithm for Learning with Drifting Distributions
M. Mohri
Andrés Munoz Medina
80
123
0
19 May 2012
1