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Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

16 February 2021
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
    FaML
ArXivPDFHTML

Papers citing "Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information"

1 / 1 papers shown
Title
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
167
629
0
13 Dec 2018
1