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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 831–840 of 1722 papers

Title	Date	Tasks	Status	Hype
Coarsened confounding for causal effects: a large-sample framework	Jan 6, 2025	Causal Inference	—Unverified	0
ClusterSC: Advancing Synthetic Control with Donor Selection	Mar 27, 2025	Causal Inference	—Unverified	0
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders	Mar 4, 2023	Causal InferenceIrregular Time Series	—Unverified	0
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation	Nov 8, 2022	Causal InferenceProgram Synthesis	—Unverified	0
Cascading Failure Prediction via Causal Inference	Oct 24, 2024	Causal InferencePrediction	—Unverified	0
Estimating Treatment Effects via Orthogonal Regularization	Jan 1, 2021	Causal InferenceDecision Making	—Unverified	0
Causal Inference under Data Restrictions	Jan 20, 2023	Causal Inferencecounterfactual	—Unverified	0
Estimation Considerations in Contextual Bandits	Nov 19, 2017	Causal InferenceEconometrics	—Unverified	0
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes	Aug 18, 2020	Causal Inferenceregression	—Unverified	0
Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration	Feb 19, 2018	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