Preprints

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

A hierarchical decomposition for explaining ML performance discrepancies
Feng, Singh, Xia, Subbaswamy and Gossmann
[arXiv]

2024

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Feng, Subbaswamy, Gossmann, Singh, Sahiner, Kim, Pennello, Petrick, Pirracchio and Xia
Conference on Causal Learning and Reasoning, 2024
[paper][code]

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Feng, Gossmann, Pennello, Petrick, Sahiner and Pirracchio
AISTATS, 2024
[paper][code]

Is this model reliable for everyone? Testing for strong calibration
Feng, Gossmann, Pirracchio, Petrick, Pennello and Sahiner
AISTATS, 2024
[paper][code][poster] Oral presentation

Machine Learning Improves Prediction of Postoperative Outcomes After Gastrointestinal Surgery: A Systematic Review and Meta-analysis
Wang, Tozzi, Ganjouei, Romero-Hernandez, Feng, Calthorpe, Castro, Davis, Withers, Zhou, Chaudhary, Adam, Berrevoet, Alseidi and Rashidian
J. Gastrointest. Surg., 2024
[paper]

2023

A Brief Tutorial on Sample Size Calculations for Fairness Audits
Singh, Xia, Kim, Pirracchio, Chunara and Feng
Workshop on Regulatable Machine Learning at the 37th Conference on Neural Information Processing Systems, 2023
[paper]

Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study
Feng, Subbaswamy, Gossmann, Singh, Sahiner, Kim, Pennello, Petrick, Pirracchio and Xia
Workshop on Regulatable Machine Learning at the 37th Conference on Neural Information Processing Systems, 2023
[paper][poster][slides] Oral presentation

Development and Validation of Prediction Models and Risk Calculators for Post-Hepatectomy Liver Failure and Postoperative Complications using a Diverse International Cohort of Major Hepatectomies
Wang, Feng, Gomes, Calthorpe, Ashraf Ganjouei, Romero-Hernandez, Benedetti Cacciaguerra, Hibi, Abdelgadir Adam, Alseidi, Abu Hilal, Rashidian and International Post-Hepatectomy Liver Failure Study Group
Ann. Surg., 2023
[paper]

Multi-institutional Development and External Validation of a Machine Learning Model for the Prediction of Distant Metastasis in Patients Treated by Salvage Radiotherapy for Biochemical Failure After Radical Prostatectomy
Sabbagh, Tilki, Feng, Huland, Graefen, Wiegel, B{"o}hmer, Hong, Valdes, Cowan, Cooperberg, Feng, Mohammad, Shelan, D’Amico, Carroll and Mohamad
European Urology Focus, 2023
[paper]

Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors
Zamirpour, Hubbard, Feng, Butte, Pirracchio and Bishara
Bioengineering, 2023
[paper]

Hand-Assisted Versus Pure Minimally-Invasive Distal Pancreatectomy: Is There a Downside to Lending a Hand?
Miller, Romero-Hernandez, Conroy, Calthorpe, Yilma, Mohamedaly, Kelly, Feng, Hirose, Kirkwood, Maker, Corvera, Nakakura, Alseidi and Adam
World J. Surg., 2023
[paper]

Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer
Sabbagh, Washington, Tilki, Hong, Feng, Valdes, Chen, Wu, Huland, Graefen, Wiegel, Bohmer, Cowan, Cooperberg, Feng, Roach, Trock, Partin, D’Amico, Carroll and Mohamad
Eur Urol Oncol, 2023
[paper]

Hypertension Requiring Medication Use: a Silent Predictor of Poor Outcomes After Pancreaticoduodenectomy
Lin, Conroy, Romero-Hernandez, Yilma, Feng, Hirose, Nakakura, Maker, Corvera, Kirkwood, Alseidi and Adam
J. Gastrointest. Surg., 2023
[paper]

Predictors of All-Cause Thirty-Day Readmissions in Patients with Heart Failure at an Urban Safety Net Hospital: The Importance of Social Determinants of Health
Steverson, Marano, Chen, Ma, Stern, Feng, Gennatas, Marks, Durstenfeld, Davis, Hsue and Zier
American Journal of Medicine Open, 2023
[paper]

Homelessness and Incidence and Causes of Sudden Death: Data From the POST SCD Study
Haghighat, Ramakrishna, Salazar, Feng, Chiang, Moffatt and Tseng
JAMA Intern. Med., 2023
[paper]

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]