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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 1241–1250 of 1722 papers

Title	Date	Tasks	Status	Hype
Out-of-distribution robustness for multivariate analysis via causal regularisation	Mar 4, 2024	Causal Inferenceregression	—Unverified	0
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model	Jan 31, 2023	Causal Inferencecounterfactual	—Unverified	0
Imputation of Counterfactual Outcomes when the Errors are Predictable	Mar 12, 2024	Causal Inferencecounterfactual	—Unverified	0
Individual Causal Inference Using Panel Data With Multiple Outcomes	Jun 3, 2023	Causal Inference	—Unverified	0
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox	Oct 21, 2021	Causal InferenceDecision Making	—Unverified	0
Inference for max-linear Bayesian networks with noise	May 1, 2025	Causal Inference	—Unverified	0
Inference with few treated units	Apr 28, 2025	Causal Inference	—Unverified	0
Inferring causal structure: a quantum advantage	Jun 19, 2014	Causal InferenceRelation	—Unverified	0
Inferring deterministic causal relations	Mar 15, 2012	Causal Inference	—Unverified	0
Inferring dynamic regulatory interaction graphs from time series data with perturbations	Jun 13, 2023	Causal InferenceGraph Attention	—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