A comparison of approaches to improve worst-case predictive model
performance over patient subpopulations

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

27 August 2021

Stephen R. Pfohl

Agata Foryciarz

Marzyeh Ghassemi

Papers citing "A comparison of approaches to improve worst-case predictive model performance over patient subpopulations"

14 / 14 papers shown

Title
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi K. Tam OOD 79 0 0 05 Mar 2025
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 27 1 0 04 Jul 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 31 4 0 10 Jun 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 51 0 0 13 Mar 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 20 1 0 01 Feb 2024
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Y. Zou OODD 29 3 0 04 May 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 11 20 0 17 Feb 2023
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 16 65 0 23 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 14 29 0 18 Mar 2022
Decision-Making under Miscalibration G. Rothblum G. Yona 11 5 0 18 Mar 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 9 27 0 03 Feb 2022
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 8 21 0 20 Jul 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance Andrew C. Miller Leon A. Gatys Joseph D. Futoma E. Fox 23 8 0 25 Apr 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016