Preprints

Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification
Feng and Simon
[arXiv][code]

2022

Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Feng, Gossmann, Sahiner and Pirracchio
Journal of the American Medical Informatics Association, 2022
[paper][code]

Ensembled sparse-input hierarchical networks for high-dimensional datasets
Feng and Simon
Statistical Analysis and Data Mining, 2022
[paper][code]

Overcoming barriers in the design and implementation of clinical trials for Acute Kidney Injury: a report from the 2020 Kidney Disease Clinical Trialists meeting
Lazzareschi, Mehta, Dember, Bernholz, Turan, Sharma, Kheterpal, Parikh, Ali, Schulman, Ryan, Feng, Simon, Pirracchio, Rossignol and Legrand
Nephrol. Dial. Transplant, 2022
[paper]

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Feng, Phillips, Malenica, Bishara, Hubbard, Celi and Pirracchio
npj Digital Medicine, 2022
[paper]

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
Esteva, Feng, van der Wal, Huang, Simko, DeVries, Chen, Schaeffer, Morgan, Sun, Ghorbani, Naik, Nathawani, Socher, Michalski, Roach, Pisansky, Monson, Naz, Wallace, Ferguson, Bahary, Zou, Lungren, Yeung, Ross, Sandler, Tran, Spratt, Pugh, Feng and Mohamad
npj Digital Medicine, 2022
[paper]

Sequential algorithmic modification with test data reuse
Feng, Pennello, Petrick, Sahiner, Pirracchio and Gossmann
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2022
[paper][code][poster]

2021

Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep
Feng, Emerson and Simon
Biometrics, 2021
[paper][code]

Estimation of cell lineage trees by maximum-likelihood phylogenetics
Feng, DeWitt, McKenna, Simon, Willis and Matsen
Annals of Applied Statistics, 2021
[paper][code]

Learning to safely approve updates to machine learning algorithms
Feng
Proceedings of the Conference on Health, Inference, and Learning, 2021
[paper][code]

Selective prediction-set models with coverage guarantees
Feng, Sondhi, Perry and Simon
Biometrics, 2021
[paper][code]

2020

Efficient nonparametric statistical inference on population feature importance using Shapley values
Williamson and Feng
International Conference on Machine Learning (ICML), 2020
[paper][code]

An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Feng and Simon
Statistica Sinica, 2020
[paper]

2019

Deep generative models for T cell receptor protein sequences
Davidsen, Olson, DeWitt, Feng, Harkins, Bradley and Matsen
Elife, 2019
[paper][code]

Survival analysis of DNA mutation motifs with penalized proportional hazards
Feng, Shaw, Minin, Simon and Matsen
Ann. Appl. Stat., 2019
[paper][code]

2018

Gradient-based Regularization Parameter Selection for Problems With Nonsmooth Penalty Functions
Feng and Simon
J. Comput. Graph. Stat., 2018
[paper][code]

Nonparametric variable importance using an augmented neural network with multi-task learning
Feng, Williamson, Simon and Carone
International Conference on Machine Learning (ICML), 2018
[paper][code]