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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 1171–1180 of 1722 papers

Title	Date	Tasks	Status	Hype
Interventional Video Grounding with Dual Contrastive Learning	Jun 21, 2021	Causal InferenceContrastive Learning	CodeCode Available	0
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift	Jun 21, 2021	Causal InferenceDensity Estimation	—Unverified	0
Experimentally testable whole brain manifolds that recapitulate behavior	Jun 20, 2021	Causal InferenceTime Series	—Unverified	0
Machine learning in the social and health sciences	Jun 20, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
CausalNLP: A Practical Toolkit for Causal Inference with Text	Jun 15, 2021	Causal Inference	CodeCode Available	1
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures	Jun 14, 2021	Bayesian InferenceCausal Inference	CodeCode Available	1
Harmonization with Flow-based Causal Inference	Jun 12, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Conterfactual Generative Zero-Shot Semantic Segmentation	Jun 11, 2021	Causal Inferencecounterfactual	—Unverified	0
Context-Specific Causal Discovery for Categorical Data Using Staged Trees	Jun 8, 2021	Causal DiscoveryCausal Inference	—Unverified	0
BayesIMP: Uncertainty Quantification for Causal Data Fusion	Jun 7, 2021	Bayesian OptimisationCausal 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