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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 1401–1410 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causal Inference by String Diagram Surgery	Nov 20, 2018	Causal Inference	—Unverified	0	0
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions	Jan 2, 2023	Causal Inference	—Unverified	0	0
Causal Inference (C-inf) -- closed form worst case typical phase transitions	Jan 2, 2023	Causal InferenceForm	—Unverified	0	0
Causal Inference for Banking Finance and Insurance A Survey	Jul 31, 2023	Causal InferenceSurvey	—Unverified	0	0
Causal inference for climate change events from satellite image time series using computer vision and deep learning	Oct 25, 2019	AttributeCausal Inference	—Unverified	0	0
Causal inference for data-driven debugging and decision making in cloud computing	Mar 4, 2016	Causal InferenceCloud Computing	—Unverified	0	0
Causal Inference for Early Detection of Pathogenic Social Media Accounts	Jun 26, 2018	Causal InferenceCommunity Detection	—Unverified	0	0
Causal Inference for Event Pairs in Multivariate Point Processes	Dec 1, 2021	Causal InferencePoint Processes	—Unverified	0	0
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis	May 28, 2025	Causal InferenceExperimental Design	—Unverified	0	0
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	Apr 14, 2024	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