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Found 2 papers, 1 papers with code
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
The estimation of causal treatment effects from observational data is a fundamental problem in causal inference.
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Determining the causal structure of a set of variables is critical for both scientific inquiry and decision-making.
Methodology
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