Decision trees partition covariate space to detect positivity violations in causal inference, augmented by random forests to quantify violation robustness within each subspace.
Ross Quinlan
2 Pith papers cite this work. Polarity classification is still indexing.
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ID3 learns log n-juntas in polynomial time under the smoothed analysis model for product distributions.
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A discriminative approach for finding and characterizing positivity violations using decision trees
Decision trees partition covariate space to detect positivity violations in causal inference, augmented by random forests to quantify violation robustness within each subspace.
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ID3 Learns Juntas for Smoothed Product Distributions
ID3 learns log n-juntas in polynomial time under the smoothed analysis model for product distributions.