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20192026
most citedTrying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables

7 citations · 17 across the 21 of their papers we have counts for

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Showing 2023 · stat.MLShow all

1 paper · 2 filters

stat.ML2023★ 2 cited

SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling

Matthew J. Vowels

Causal inference is a crucial goal of science, enabling researchers to arrive at meaningful conclusions regarding the predictions of hypothetical interventions using observational…