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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 1561–1570 of 1722 papers

Title	Date	Tasks	Status	Hype
Effect of secular trend in drug effectiveness study in real world data	Aug 18, 2018	AttributeCausal Inference	—Unverified	0
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms	Aug 13, 2018	BIG-bench Machine LearningCausal Inference	—Unverified	0
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs	Aug 13, 2018	Causal Inferenceregression	CodeCode Available	0
Local Linear Forests	Jul 30, 2018	Causal InferenceHeterogeneous Treatment Effect Estimation	CodeCode Available	0
Applications of Common Entropy for Causal Inference	Jul 26, 2018	Causal Inferencevalid	—Unverified	0
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception	Jul 13, 2018	Causal Inference	—Unverified	0
Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates	Jul 6, 2018	Causal Inference	—Unverified	0
Causal Inference for Early Detection of Pathogenic Social Media Accounts	Jun 26, 2018	Causal InferenceCommunity Detection	—Unverified	0
Surrogate Outcomes and Transportability	Jun 19, 2018	Causal Inference	CodeCode Available	0
Simplifying Probabilistic Expressions in Causal Inference	Jun 19, 2018	Causal 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