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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 111–120 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi	Mar 24, 2025	Causal Inferencecounterfactual	—Unverified	0
A Causal Adjustment Module for Debiasing Scene Graph Generation	Mar 22, 2025	AttributeCausal Inference	—Unverified	0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction	Mar 22, 2025	Causal InferenceComputational Efficiency	—Unverified	0
Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators	Mar 21, 2025	Causal Inferencevalid	CodeCode Available	0
DeCaFlow: A Deconfounding Causal Generative Model	Mar 19, 2025	Causal Inferencecounterfactual	CodeCode Available	1
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child	Mar 19, 2025	Causal InferenceContinual Learning	—Unverified	0
Doubly robust identification of treatment effects from multiple environments	Mar 18, 2025	Causal Inference	CodeCode Available	0
KANITE: Kolmogorov-Arnold Networks for ITE estimation	Mar 18, 2025	Causal InferenceKolmogorov-Arnold Networks	—Unverified	0
Causal Feature Learning in the Social Sciences	Mar 17, 2025	Causal InferenceVariable Selection	CodeCode Available	0
Causes of evolutionary divergence in prostate cancer	Mar 17, 2025	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