research
∙
07/28/2023
Is this model reliable for everyone? Testing for strong calibration
In a well-calibrated risk prediction model, the average predicted probab...
share
research
∙
01/27/2023
Multi-task Highly Adaptive Lasso
We propose a novel, fully nonparametric approach for the multi-task lear...
research
∙
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...
research
∙
03/21/2022
Sequential algorithmic modification with test data reuse
After initial release of a machine learning algorithm, the model can be ...
research
∙
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...
research
∙
09/21/2021
Personalized Online Machine Learning
In this work, we introduce the Personalized Online Super Learner (POSL) ...
research
∙
11/09/2018