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Ancestral Causal Inference

NeurIPS 2016 · Probabilistic and scientific modeling › Causal discovery · approach: Identifiability with hidden confounders · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
restrict HEJ search space using ACI ancestral constraintsHEJ · Synthetic n=6, c=4execution time (s): 314.29 -> 16.96Helped
restrict HEJ using ACI constraintsHEJ · Synthetic n=7, c=1execution time (s): 356.49 -> 36.13Helped
restrict HEJ using ACI constraintsHEJ · Synthetic n=6, c=1execution time (s): 15.03 -> 9.77Helped
restrict HEJ using ACI constraintsHEJ · Synthetic n=8, c=1execution time (s): ≥ 2500 -> 98.92Helped
use ancestral reasoning (ACI) instead of HEJHEJ · Synthetic n=7, c=1execution time: almost 3 orders of magnitude fasterHelped
increase independence test order from c=1 to c=4ACI and HEJ · Synthetic n=6 PR curvesprecision-recall accuracyNo clear effect
add oracle background knowledge on descendants of one variable (i=1)ACI · Synthetic n=8precision-recall (ancestral)Helped
use ACI scoring instead of bootstrapping (C)FCIACI · Synthetic n=6precision-recallHelped
use restricted HEJ for direct relationsACI + HEJ · Synthetic n=6 direct relationsprecision-recallNo clear effect
use weighted ancestral relations from interventional data as inputACI · Flow cytometryancestral relation recoveryHelped
Bayesian weights instead of frequentist weights (ablation)ACI · Synthetic n=6precision-recallNo clear effect

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