Beam, Andrew

6 publications

NeurIPSW 2024 DAG-Aware Transformer for Causal Effect Estimation Manqing Liu, David Remy Bellamy, Andrew Beam

NeurIPSW 2024 Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data Sophia M Rein, Jing Li, Miguel Hernan, Andrew Beam

CHIL 2023 Conference on Health, Inference, and Learning (CHIL) 2023 Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho

MLHC 2023 TIER: Text-Image Entropy Regularization for Medical CLIP-Style Models Anil Palepu, Andrew Beam

NeurIPS 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa, David Bellamy, Tom Kolokotrones, James M Robins, Andrew Beam

ICMLW 2022 Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu, Andrew Beam