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Fair Wrapping for Black-box Predictions
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Fair Wrapping for Black-box Predictions

Alexander Soen
Ibrahim Alabdulmohsin
Sanmi Koyejo
Yishay Mansour
Nyalleng Moorosi
Richard Nock
Ke Sun
Lexing Xie
    FaML
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Papers citing "Fair Wrapping for Black-box Predictions"

8 / 8 papers shown
Title
Post-processing for Individual Fairness
Post-processing for Individual Fairness
Felix Petersen
Debarghya Mukherjee
Yuekai Sun
Mikhail Yurochkin
FaML
78
84
0
26 Oct 2021
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
64
10
0
18 Jun 2021
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
...
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaMLSyDa
98
808
0
03 Oct 2018
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
Anupam Datta
Matt Fredrikson
Gihyuk Ko
Piotr (Peter) Mardziel
S. Sen
43
63
0
22 May 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
228
4,312
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
119
1,771
0
19 Sep 2016
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler Divergence
T. Erven
P. Harremoes
84
1,340
0
12 Jun 2012
Information, Divergence and Risk for Binary Experiments
Information, Divergence and Risk for Binary Experiments
Mark D. Reid
Robert C. Williamson
119
232
0
05 Jan 2009