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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 731–740 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference for Early Detection of Pathogenic Social Media Accounts	Jun 26, 2018	Causal InferenceCommunity Detection	—Unverified	0
Domain Adaptable Prescriptive AI Agent for Enterprise	Jul 29, 2024	AI AgentCausal Inference	—Unverified	0
Causal Inference for Event Pairs in Multivariate Point Processes	Dec 1, 2021	Causal InferencePoint Processes	—Unverified	0
Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs	Mar 22, 2023	Causal Inferencevalid	—Unverified	0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology	Feb 20, 2025	Causal Inferencecounterfactual	—Unverified	0
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection	Feb 25, 2018	Causal InferenceManagement	—Unverified	0
A Causal Lens for Controllable Text Generation	Jan 22, 2022	AttributeCausal Inference	—Unverified	0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data	Nov 22, 2024	Causal InferenceComputational Efficiency	—Unverified	0
Effect of secular trend in drug effectiveness study in real world data	Aug 18, 2018	AttributeCausal Inference	—Unverified	0
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders	Sep 15, 2020	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