Fair Wrapping for Black-box Predictions

31 January 2022

Papers citing "Fair Wrapping for Black-box Predictions"

8 / 8 papers shown

Title
Post-processing for Individual Fairness Felix Petersen Debarghya Mukherjee Yuekai Sun Mikhail Yurochkin FaML 75 84 0 26 Oct 2021
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 Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 98 808 0 03 Oct 2018
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 Moritz Hardt Eric Price Nathan Srebro FaML 228 4,312 0 07 Oct 2016
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 T. Erven P. Harremoes 84 1,340 0 12 Jun 2012
Information, Divergence and Risk for Binary Experiments Mark D. Reid Robert C. Williamson 119 232 0 05 Jan 2009