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20242026
most citedConditional Feature Importance revisited: Double Robustness, Efficiency and Inference

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math.ST2026

Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees

Angel Reyero-Lobo, Bertrand Thirion, Pierre Neuvial

Conditional independence testing (CIT) is essential for reliable scientific discovery. It prevents spurious findings and enables controlled feature selection. Recent CIT methods ha…