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12/21/2022
Adapting to Latent Subgroup Shifts via Concepts and Proxies
We address the problem of unsupervised domain adaptation when the source...
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02/03/2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
A growing body of work uses the paradigm of algorithmic fairness to fram...
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08/27/2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Predictive models for clinical outcomes that are accurate on average in ...
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07/20/2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
The use of machine learning to guide clinical decision making has the po...
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01/06/2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Widespread adoption of electronic health records (EHRs) has fueled devel...
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11/13/2019