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Jean Feng

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A hierarchical decomposition for explaining ML performance discrepancies

Feb 22, 2024
Jean Feng, Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann

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A Brief Tutorial on Sample Size Calculations for Fairness Audits

Dec 07, 2023
Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng

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Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study

Nov 20, 2023
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

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Is this model reliable for everyone? Testing for strong calibration

Jul 28, 2023
Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner

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Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions

Nov 17, 2022
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio

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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

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Ensembled sparse-input hierarchical networks for high-dimensional datasets

May 11, 2020
Jean Feng, Noah Simon

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