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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 301–310 of 1722 papers

Title	Date	Tasks	Status	Hype
A Causal Adjustment Module for Debiasing Scene Graph Generation	Mar 22, 2025	AttributeCausal Inference	—Unverified	0
Causal Inference by String Diagram Surgery	Nov 20, 2018	Causal Inference	—Unverified	0
Causal Inference for Banking Finance and Insurance A Survey	Jul 31, 2023	Causal InferenceSurvey	—Unverified	0
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	Apr 14, 2024	Causal Inference	—Unverified	0
Causal Inference in Geoscience and Remote Sensing from Observational Data	Dec 7, 2020	Causal Inferenceregression	—Unverified	0
A Systems Thinking Approach to Algorithmic Fairness	Dec 21, 2024	Causal InferenceFairness	—Unverified	0
A scoping review of causal methods enabling predictions under hypothetical interventions	Nov 19, 2020	Causal InferenceDecision Making	—Unverified	0
A General Causal Inference Framework for Cross-Sectional Observational Data	Apr 28, 2024	Causal Inference	—Unverified	0
A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data	May 28, 2025	Causal Inferencecounterfactual	—Unverified	0
Asymptotic Properties of the Distributional Synthetic Controls	May 2, 2024	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