fairadapt: Causal Reasoning for Fair Data Pre-processing

19 October 2021

Papers citing "fairadapt: Causal Reasoning for Fair Data Pre-processing"

8 / 8 papers shown

Title
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 27 0 0 14 Dec 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 32 1 0 17 Nov 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 27 14 0 03 Nov 2023
Reconciling Predictive and Statistical Parity: A Causal Approach Drago Plečko Elias Bareinboim FaML 24 2 0 08 Jun 2023
Towards ethical multimodal systems Alexis Roger Esma Aïmeur Irina Rish 40 3 0 26 Apr 2023
Conformalized Fairness via Quantile Regression Meichen Liu Lei Ding Dengdeng Yu Wulong Liu Linglong Kong Bei Jiang 46 9 0 05 Oct 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 113 2,735 0 18 Aug 2015