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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 401–410 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation	Mar 2, 2023	Causal InferenceModel Selection	CodeCode Available	0	5
Identifiable causal inference with noisy treatment and no side information	Jun 18, 2023	Causal InferenceEconometrics	CodeCode Available	0	5
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment	Nov 25, 2021	Causal Inference	CodeCode Available	0	5
Identifying the Effect of Persuasion	Dec 6, 2018	Causal Inference	CodeCode Available	0	5
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes	Feb 12, 2025	Causal InferenceMarketing	CodeCode Available	0	5
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	0	5
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds	May 20, 2025	Causal Inferencecounterfactual	CodeCode Available	0	5
Causal Campbell-Goodhart's law and Reinforcement Learning	Nov 2, 2020	Causal InferenceDecision Making	CodeCode Available	0	5
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	Causal Inference	CodeCode Available	0	5

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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