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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 791–800 of 1722 papers

Title	Date	Tasks	Status	Hype
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions	Dec 26, 2022	Causal Inference	—Unverified	0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems	Dec 22, 2022	Causal InferenceQuantization	—Unverified	0
Local Policy Improvement for Recommender Systems	Dec 22, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Causal Inference for Knowledge Graph based Recommendation	Dec 20, 2022	Causal InferenceCollaborative Filtering	CodeCode Available	0
Out-of-sample scoring and automatic selection of causal estimators	Dec 20, 2022	Causal InferenceHyperparameter Optimization	CodeCode Available	2
A Layered Architecture for Universal Causality	Dec 18, 2022	Causal InferenceLEMMA	—Unverified	0
On the Relationship Between Explanation and Prediction: A Causal View	Dec 13, 2022	Causal Inference	—Unverified	0
Whole Brain Network Dynamics of Epileptic Seizures at Single Cell Resolution	Dec 12, 2022	Causal Inference	—Unverified	0
Instrumental Variables in Causal Inference and Machine Learning: A Survey	Dec 12, 2022	Causal InferenceSurvey	CodeCode Available	1
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects	Dec 9, 2022	Causal Inferencecounterfactual	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