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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 1641–1650 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimation and Inference on Nonlinear and Heterogeneous Effects	Mar 16, 2017	BIG-bench Machine LearningCausal Inference	—Unverified	0
Probabilistic Matching: Causal Inference under Measurement Errors	Mar 13, 2017	Causal Inference	—Unverified	0
Outcome-adaptive lasso: variable selection for causal inference	Mar 8, 2017	Causal InferenceVariable Selection	CodeCode Available	0
Causal Inference by Stochastic Complexity	Feb 22, 2017	Causal Inference	—Unverified	0
Causal Inference on Multivariate and Mixed-Type Data	Feb 21, 2017	Causal InferenceVocal Bursts Type Prediction	—Unverified	0
Simple rules for complex decisions	Feb 15, 2017	Causal Inferencecounterfactual	—Unverified	0
Interaction Information for Causal Inference: The Case of Directed Triangle	Jan 30, 2017	Causal Inference	—Unverified	0
Semidefinite tests for latent causal structures	Jan 3, 2017	Causal Inference	—Unverified	0
Generalized Optimal Matching Methods for Causal Inference	Dec 26, 2016	Causal Inference	—Unverified	0
Joint Causal Inference from Multiple Contexts	Nov 30, 2016	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