General Fair Empirical Risk Minimization

29 January 2019

Papers citing "General Fair Empirical Risk Minimization"

9 / 9 papers shown

Title
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 143 4 0 13 Nov 2024
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 5 0 23 Feb 2022
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 31 35 0 07 Dec 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 48 48 0 28 Sep 2021
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 32 101 0 12 Jun 2020
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 35 25 0 27 Jun 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 37 19 0 25 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 19 85 0 12 Jun 2019