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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 1231–1240 of 1722 papers

Title	Date	Tasks	Status	Hype
Identifying Causal Relations Using Parallel Wikipedia Articles	Aug 1, 2016	ArticlesCausal Inference	—Unverified	0
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach	Oct 28, 2018	Causal InferenceModel Selection	—Unverified	0
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders	Sep 26, 2013	Causal Inference	—Unverified	0
Identifying Macro Causal Effects in C-DMGs	Apr 2, 2025	Causal InferenceEpidemiology	—Unverified	0
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding	Jul 10, 2024	Causal InferenceEpidemiology	—Unverified	0
Causal Inference Despite Limited Global Confounding via Mixture Models	Dec 22, 2021	Causal Inference	—Unverified	0
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model	May 25, 2022	Causal InferenceDiagnostic	—Unverified	0
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding	Jan 17, 2021	Causal InferenceRepresentation Learning	—Unverified	0
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach	Feb 25, 2024	Causal DiscoveryCausal Inference	—Unverified	0
Causal Discovery with a Mixture of DAGs	Jan 28, 2019	Causal DiscoveryCausal 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