David R. Bellamy

According to our database, David R. Bellamy authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DAG-aware Transformer for Causal Effect Estimation.

Manqing Liu, David R. Bellamy, Andrew L. Beam

CoRR, 2024

2023

Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data.

David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam

CoRR, 2023

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

2022

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.

Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data.

David R. Bellamy, Leo A. Celi, Andrew L. Beam

CoRR, 2020