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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 311–320 of 1722 papers

Title	Date	Tasks	Status	Hype
Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation	Mar 14, 2025	Causal Inference	—Unverified	0
Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting	Mar 12, 2025	Causal Inference	—Unverified	0
A primer on optimal transport for causal inference with observational data	Mar 10, 2025	Causal Inferencecounterfactual	—Unverified	0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis	Mar 10, 2025	Causal InferenceFeature Importance	—Unverified	0
Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records	Mar 8, 2025	Causal InferenceDecision Making	—Unverified	0
A Causal Inference Approach for Quantifying Research Impact	Mar 7, 2025	Causal Inferencecounterfactual	—Unverified	0
Riemannian Metric Learning: Closer to You than You Imagine	Mar 7, 2025	Causal InferenceMetric Learning	—Unverified	0
Black Box Causal Inference: Effect Estimation via Meta Prediction	Mar 7, 2025	Causal InferenceDecision Making	—Unverified	0
Kernel-based estimators for functional causal effects	Mar 6, 2025	Causal Inference	CodeCode Available	0
BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference	Mar 4, 2025	Causal InferenceTwitter Bot Detection	—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