Cohort Shapley value for algorithmic fairness

15 May 2021

Papers citing "Cohort Shapley value for algorithmic fairness"

11 / 11 papers shown

Title
Achieving Fairness in Predictive Process Analytics via Adversarial Learning (Extended Version) Massimiliano de Leoni Alessandro Padella FaML 24 1 0 03 Oct 2024
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 18 1 0 06 Oct 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 37 11 0 24 May 2023
Uncertainty Quantification for Local Model Explanations Without Model Access Surin Ahn J. Grana Yafet Tamene Kristian Holsheimer FAtt 26 0 0 13 Jan 2023
Model free variable importance for high dimensional data Naofumi Hama Masayoshi Mase Art B. Owen 21 1 0 15 Nov 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang X. Wang Yang Liu TDI FaML 20 33 0 30 Jun 2022
Confounder Analysis in Measuring Representation in Product Funnels Jilei Yang Wentao Su CML 14 0 0 07 Jun 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 11 7 0 31 May 2022
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 21 15 0 18 Oct 2021
Information Theoretic Measures for Fairness-aware Feature Selection S. Khodadadian M. Nafea AmirEmad Ghassami Negar Kiyavash 14 8 0 01 Jun 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016