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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 881–890 of 1722 papers

Title	Date	Tasks	Status	Hype
Meta-Causal Feature Learning for Out-of-Distribution Generalization	Aug 22, 2022	Causal InferenceOut-of-Distribution Generalization	—Unverified	0
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling	Aug 21, 2022	Causal Inferencecounterfactual	CodeCode Available	0
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance	Aug 19, 2022	Causal InferenceFraud Detection	—Unverified	0
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization	Aug 19, 2022	Causal Inferenceparameter estimation	—Unverified	0
Network inference via process motifs for lagged correlation in linear stochastic processes	Aug 18, 2022	Causal InferenceTime Series	—Unverified	0
Inference on Strongly Identified Functionals of Weakly Identified Functions	Aug 17, 2022	Causal Inferenceregression	—Unverified	0
Collaborative causal inference on distributed data	Aug 16, 2022	Causal InferenceDimensionality Reduction	—Unverified	0
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems	Aug 13, 2022	Causal Inferencecounterfactual	—Unverified	0
Valid Inference After Causal Discovery	Aug 11, 2022	Causal DiscoveryCausal Inference	—Unverified	0
Causal Effect Identification in Uncertain Causal Networks	Aug 9, 2022	Causal IdentificationCausal 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