Counterfactual Reasoning for Fair Clinical Risk Prediction

14 July 2019

Papers citing "Counterfactual Reasoning for Fair Clinical Risk Prediction"

8 / 8 papers shown

Title
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 31 2 0 26 Oct 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 19 20 0 19 May 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 26 0 10 Sep 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 20 26 0 12 Feb 2021
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 29 7 0 19 Nov 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016