How Costly is Noise? Data and Disparities in Consumer Credit

17 May 2021

Papers citing "How Costly is Noise? Data and Disparities in Consumer Credit"

7 / 7 papers shown

Title
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data Nicholas Tenev 32 0 0 01 May 2024
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 45 6 0 15 May 2023
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 51 22 0 05 Oct 2022
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S. Scher Simone Kopeinik A. Trugler Dominik Kowald 45 9 0 17 Aug 2022
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model Jacob Bond Andrew J. Lingg AAML 9 0 0 02 Jun 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 31 3 0 13 Apr 2022
InfoGram and Admissible Machine Learning S. Mukhopadhyay FaML 24 8 0 17 Aug 2021