2 papers
stat.ML2024
DAG-aware Transformer for Causal Effect Estimation
Manqing Liu, David R. Bellamy, Andrew L. Beam
Causal inference is a critical task across fields such as healthcare, economics, and the social sciences. While recent advances in machine learning, especially those based on the d…
cs.CL2024
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
David R. Bellamy, Bhawesh Kumar, Cindy Wang +1
In this work we introduce Labrador, a pre-trained Transformer model for laboratory data. Labrador and BERT were pre-trained on a corpus of 100 million lab test results from electro…