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Double Machine Learning
Double Machine Learning
PulseAugur coverage of Double Machine Learning — every cluster mentioning Double Machine Learning across labs, papers, and developer communities, ranked by signal.
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New DDML algorithm improves causal effect estimation
Researchers have introduced Disentangled Double Machine Learning (DDML), a new algorithm designed to improve causal effect estimation from observational data. DDML addresses limitations in existing Double Machine Learni…
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SHIFT estimator improves robust double machine learning for heavy-tailed data
Researchers have developed SHIFT, a new robust estimator for Double Machine Learning (DML) pipelines designed to handle heavy-tailed data contamination. SHIFT combines cross-fit nuisance orthogonalization with a kernel-…