Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data. - David R. Bellamy; Leo A. Celi; Andrew L. Beam (CoRR, 2020)

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. - Benjamin Kompa; David R. Bellamy; Thomas Kolokotrones; James M. Robins; Andrew Beam (NeurIPS, 2022)

Conformal Prediction with Large Language Models for Multi-Choice Question Answering. - Bhawesh Kumar; Charlie Lu; Gauri Gupta; Anil Palepu; David R. Bellamy; Ramesh Raskar; Andrew Beam (CoRR, 2023)

Labrador: Exploring the limits of masked language modeling for laboratory data. - David R. Bellamy; Bhawesh Kumar; Cindy Wang; Andrew Beam (ML4H@NeurIPS, 2024)

DAG-aware Transformer for Causal Effect Estimation. - Manqing Liu; David R. Bellamy; Andrew L. Beam (CoRR, 2024)