To Split or Not to Split: The Impact of Disparate Treatment in Classification

12 February 2020

Papers citing "To Split or Not to Split: The Impact of Disparate Treatment in Classification"

10 / 10 papers shown

Title
Obfuscation via Information Density Estimation Hsiang Hsu S. Asoodeh Flavio du Pin Calmon 35 12 0 17 Oct 2019
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 106 469 0 30 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 116 1,094 0 06 Mar 2018
Fair Clustering Through Fairlets Flavio Chierichetti Ravi Kumar Silvio Lattanzi Sergei Vassilvitskii FaML 43 430 0 15 Feb 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 38 990 0 27 Mar 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 81 1,762 0 19 Sep 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 120 1,978 0 11 Dec 2014
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 119 345 0 08 Oct 2012
f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models Takafumi Kanamori Taiji Suzuki Masashi Sugiyama 58 70 0 24 Oct 2010