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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 441–450 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
BART: Bayesian additive regression trees	Jun 19, 2008	Causal InferenceDrug Discovery	CodeCode Available	0	5
Convolutional neural networks for valid and efficient causal inference	Jan 27, 2023	Causal Inferencevalid	CodeCode Available	0	5
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis	Aug 17, 2024	Causal Inferencecounterfactual	CodeCode Available	0	5
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	Causal Inference	CodeCode Available	0	5
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality	Jan 2, 2018	ArticlesCausal Inference	CodeCode Available	0	5
Neural Network Parameter-optimization of Gaussian pmDAGs	Sep 25, 2023	Causal IdentificationCausal Inference	CodeCode Available	0	5
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects	May 20, 2018	Causal Inference	CodeCode Available	0	5
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available	0	5
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	Jun 2, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	0	5
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Feb 12, 2024	Causal InferenceDisentanglement	CodeCode Available	0	5

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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