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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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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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12/14/2020
Learning how to approve updates to machine learning algorithms in non-stationary settings
Machine learning algorithms in healthcare have the potential to continua...
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06/16/2020
Efficient nonparametric statistical inference on population feature importance using Shapley values
The true population-level importance of a variable in a prediction task ...
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05/11/2020
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Neural networks have seen limited use in prediction for high-dimensional...
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12/28/2019
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep
Successful deployment of machine learning algorithms in healthcare requi...
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06/13/2019
Selective prediction-set models with coverage guarantees
Though black-box predictors are state-of-the-art for many complex tasks,...
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03/29/2019
Estimation of cell lineage trees by maximum-likelihood phylogenetics
CRISPR technology has enabled large-scale cell lineage tracing for compl...
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03/28/2019
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
In the regression setting, given a set of hyper-parameters, a model-esti...
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11/21/2017
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification
Neural networks are usually not the tool of choice for nonparametric hig...
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11/11/2017
Survival analysis of DNA mutation motifs with penalized proportional hazards
Antibodies, an essential part of our immune system, develop in an intric...
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03/28/2017
