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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 961–970 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Removing Hidden Confounding by Experimental Grounding	Oct 27, 2018	Causal Inference	—Unverified	0	0
Representation Disentaglement via Regularization by Causal Identification	Feb 28, 2023	Causal IdentificationCausal Inference	—Unverified	0	0
Representation learning with CGAN for casual inference	Jul 3, 2024	Causal InferenceConditional Image Generation	—Unverified	0	0
Research on Personal Credit Risk Assessment Methods Based on Causal Inference	Mar 17, 2024	Causal InferenceManagement	—Unverified	0	0
Restricted Causal Inference Algorithm	Jun 30, 2017	Causal Inference	—Unverified	0	0
Rethinking Distributional IVs: KAN-Powered D-IV-LATE & Model Choice	Jun 15, 2025	Causal InferenceKolmogorov-Arnold Networks	—Unverified	0	0
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia	Jul 11, 2016	BIG-bench Machine LearningCausal Inference	—Unverified	0	0
A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks	Nov 20, 2023	Causal InferencePrediction	—Unverified	0	0
Revisiting the General Identifiability Problem	Jun 2, 2022	Causal Inference	—Unverified	0	0
Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation	Jun 10, 2025	Causal Inference	—Unverified	0	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