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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
Partial Identification of Dose Responses with Hidden Confounders	Apr 24, 2022	Causal InferenceDecision Making	—Unverified	0
Local Gaussian process extrapolation for BART models with applications to causal inference	Apr 23, 2022	Causal InferenceGaussian Processes	—Unverified	0
An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random Forest	Apr 23, 2022	Causal Inference	CodeCode Available	0
Adversarial Estimators	Apr 22, 2022	Causal InferenceEconometrics	—Unverified	0
A unified theory of information transfer and causal relation	Apr 21, 2022	Causal InferenceRelation	—Unverified	0
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction	Apr 20, 2022	Causal InferencePrediction	—Unverified	0
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition	Apr 17, 2022	Causal InferenceFacial Action Unit Detection	—Unverified	0
Causal Disentanglement with Network Information for Debiased Recommendations	Apr 14, 2022	Causal InferenceDisentanglement	—Unverified	0
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm	Apr 11, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge	Apr 11, 2022	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