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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 351–360 of 1722 papers

Title	Date	Tasks	Status	Hype
Assimilative Causal Inference	May 20, 2025	Causal InferenceTime Series	—Unverified	0
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements	May 6, 2024	Causal Inference	—Unverified	0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions	Apr 29, 2025	Causal InferenceFederated Learning	—Unverified	0
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling	Feb 3, 2023	Causal Inference	—Unverified	0
A fast PC algorithm for high dimensional causal discovery with multi-core PCs	Feb 9, 2015	Causal DiscoveryCausal Inference	—Unverified	0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components	Nov 14, 2014	Causal InferenceTime Series	—Unverified	0
Causal Inference by Stochastic Complexity	Feb 22, 2017	Causal Inference	—Unverified	0
Causal Inference by String Diagram Surgery	Nov 20, 2018	Causal Inference	—Unverified	0
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification	Oct 9, 2020	Causal InferenceClassification	—Unverified	0
Artificial Intelligence and Aesthetic Judgment	Aug 21, 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