The Highly Adaptive Lasso Estimator. - David C. Benkeser; Mark J. van der Laan (DSAA, 2016)

Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. - Craig A. Magaret; David C. Benkeser; Brian D. Williamson; Bhavesh Borate; Lindsay N. Carpp; Ivelin S. Georgiev; Ian Setliff; Adam S. Dingens; Noah Simon; Marco Carone; Christopher Simpkins; David C. Montefiori; et al. (PLoS Comput. Biol., 2019)

txshift: Efficient estimation of the causal effects of stochastic interventions in R. - Nima S. Hejazi; David C. Benkeser (J. Open Source Softw., 2020)

Super LeArner Prediction of NAb Panels (SLAPNAP): a containerized tool for predicting combination monoclonal broadly neutralizing antibody sensitivity. - Brian D. Williamson; Craig A. Magaret; Peter B. Gilbert; Sohail Nizam; Courtney Simmons; David C. Benkeser (Bioinform., 2021)

A Huber loss-based super learner with applications to healthcare expenditures. - Ziyue Wu; David C. Benkeser (CoRR, 2022)

'haldensify': Highly adaptive lasso conditional density estimation in 'R'. - Nima S. Hejazi; Mark J. van der Laan; David C. Benkeser (J. Open Source Softw., 2022)

Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? - Mary Beth Nebel; Daniel E. Lidstone; Liwei Wang; David C. Benkeser; Stewart H. Mostofsky; Benjamin B. Risk (NeuroImage, 2022)

Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning. - Razieh Nabi; Nima S. Hejazi; Mark J. van der Laan; David C. Benkeser (CoRR, 2024)

Fair Risk Minimization under Causal Path-Specific Effect Constraints. - Razieh Nabi; David C. Benkeser (CoRR, 2024)

Highly adaptive regression trees. - Sohail Nizam; David C. Benkeser (Evol. Intell., 2024)