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Sequential algorithmic modification with test data reuse


Mar 21, 2022
Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann


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Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees


Oct 13, 2021
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio


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Learning how to approve updates to machine learning algorithms in non-stationary settings


Dec 14, 2020
Jean Feng


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Efficient nonparametric statistical inference on population feature importance using Shapley values


Jun 16, 2020
Brian D. Williamson, Jean Feng

* 15 pages, 3 figures. To be published in the Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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Ensembled sparse-input hierarchical networks for high-dimensional datasets


May 11, 2020
Jean Feng, Noah Simon


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Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep


Dec 28, 2019
Jean Feng, Scott Emerson, Noah Simon


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Selective prediction-set models with coverage guarantees


Jun 13, 2019
Jean Feng, Arjun Sondhi, Jessica Perry, Noah Simon


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An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression


Mar 28, 2019
Jean Feng, Noah Simon


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Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification


Nov 21, 2017
Jean Feng, Noah Simon


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Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions


Mar 28, 2017
Jean Feng, Noah Simon


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