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07/28/2023
Is this model reliable for everyone? Testing for strong calibration
In a well-calibrated risk prediction model, the average predicted probab...
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01/27/2023
Multi-task Highly Adaptive Lasso
We propose a novel, fully nonparametric approach for the multi-task lear...
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11/17/2022
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Monitoring the performance of machine learning (ML)-based risk predictio...
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03/21/2022
Sequential algorithmic modification with test data reuse
After initial release of a machine learning algorithm, the model can be ...
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10/13/2021
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
After deploying a clinical prediction model, subsequently collected data...
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09/21/2021
Personalized Online Machine Learning
In this work, we introduce the Personalized Online Super Learner (POSL) ...
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11/09/2018
