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Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 631–640 of 1722 papers

Title	Date	Tasks	Status	Hype
Computational identification of ketone metabolism as a key regulator of sleep stability and circadian dynamics via real-time metabolic profiling	Mar 16, 2025	Causal InferenceExplainable artificial intelligence	—Unverified	0
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity	May 2, 2024	Causal Inference	—Unverified	0
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation	May 11, 2020	Causal Inferencecounterfactual	—Unverified	0
Counterfactual Reasoning and Learning Systems	Sep 11, 2012	Causal Inferencecounterfactual	—Unverified	0
Estimating a Directed Tree for Extremes	Feb 11, 2021	Causal DiscoveryCausal Inference	—Unverified	0
Computational Causal Inference	Jul 21, 2020	Causal InferenceDecision Making	—Unverified	0
Counterfactual Representation Learning with Balancing Weights	Oct 23, 2020	Causal Inferencecounterfactual	—Unverified	0
Counterfactual Thinking for Long-tailed Information Extraction	Jan 1, 2021	Causal Inferencecounterfactual	—Unverified	0
Causal and anti-causal learning in pattern recognition for neuroimaging	Dec 15, 2015	Causal Inference	—Unverified	0
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis	Mar 31, 2023	Causal Inference	—Unverified	0

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified