most citedInterpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes

15 citations · 24 across the 4 of their papers we have counts for

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stat.ML2023★ 3 cited

Contextualized Machine Learning

Benjamin Lengerich, Caleb N. Ellington, Andrea Rubbi +2

We examine Contextualized Machine Learning (ML), a paradigm for learning heterogeneous and context-dependent effects. Contextualized ML estimates heterogeneous functions by applyin…

stat.ML2023★ 2 cited

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

Benjamin J. Lengerich, Sebastian Bordt, Harsha Nori +4

We show that large language models (LLMs) are remarkably good at working with interpretable models that decompose complex outcomes into univariate graph-represented components. By…