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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 1291–1300 of 1722 papers

Title	Date	Tasks	Status	Hype
DoWhy: An End-to-End Library for Causal Inference	Nov 9, 2020	Causal Inferencevalid	CodeCode Available	3
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1
Causal Expectation-Maximisation	Nov 4, 2020	Causal Inferencecounterfactual	CodeCode Available	0
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks	Nov 3, 2020	Causal Inference	—Unverified	0
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation	Nov 3, 2020	Causal Inferencefeature selection	—Unverified	0
Instrumental Variable Identification of Dynamic Variance Decompositions	Nov 2, 2020	Causal Inference	CodeCode Available	1
Causal Campbell-Goodhart's law and Reinforcement Learning	Nov 2, 2020	Causal InferenceDecision Making	CodeCode Available	0
Exploring Logically Dependent Multi-task Learning with Causal Inference	Nov 1, 2020	Causal Inferencecounterfactual	—Unverified	0
Causal Inference for Spatial Treatments	Oct 31, 2020	Causal Inferencecounterfactual	CodeCode Available	1

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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