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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 1381–1390 of 1722 papers

Title	Date	Tasks	Status	Hype
On the power of conditional independence testing under model-X	May 12, 2020	Causal InferenceLEMMA	CodeCode Available	0
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation	May 11, 2020	Causal Inferencecounterfactual	—Unverified	0
Multivariate Time Series Forecasting with Transfer Entropy Graph	May 3, 2020	Causal InferenceDecision Making	CodeCode Available	1
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates	May 1, 2020	Causal Inference	—Unverified	0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles	May 1, 2020	Causal DiscoveryCausal Inference	—Unverified	0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Apr 30, 2020	Causal InferencePoint Processes	CodeCode Available	0
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks	Apr 28, 2020	Causal Inference	—Unverified	0
Causal Modeling with Stochastic Confounders	Apr 24, 2020	Causal Inference	—Unverified	0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects	Apr 21, 2020	Causal Inferencecounterfactual	—Unverified	0
Machine learning for causal inference: on the use of cross-fit estimators	Apr 21, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available	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