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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 871–880 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
OpportunityFinder: A Framework for Automated Causal Inference	Sep 22, 2023	Causal Inference	—Unverified	0	0
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap	Jan 12, 2022	Causal Inference	—Unverified	0	0
Optimal Policy Trees	Dec 3, 2020	Causal Inferencecounterfactual	—Unverified	0	0
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect	Feb 7, 2025	Causal Inference	—Unverified	0	0
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation	Oct 4, 2019	Causal Inferenceregression	—Unverified	0	0
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation	Feb 1, 2025	Causal Inferencefeature selection	—Unverified	0	0
Optimizing Language Models for Human Preferences is a Causal Inference Problem	Feb 22, 2024	Causal InferenceLanguage Modeling	—Unverified	0	0
Orthogonalized Estimation of Difference of Q-functions	Jun 12, 2024	Causal Inference	—Unverified	0	0
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence	Dec 28, 2017	Causal InferenceModel Selection	—Unverified	0	0
Orthogonal Random Forest for Causal Inference	Jun 9, 2018	Causal Inference	—Unverified	0	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