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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 251–260 of 1722 papers

Title	Date	Tasks	Status	Hype
LLMScan: Causal Scan for LLM Misbehavior Detection	Oct 22, 2024	Causal Inference	CodeCode Available	0
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis	Oct 22, 2024	Causal InferenceFederated Learning	—Unverified	0
Accounting for Missing Covariates in Heterogeneous Treatment Estimation	Oct 21, 2024	Causal Inference	—Unverified	0
Are Bayesian networks typically faithful?	Oct 21, 2024	Causal Inference	—Unverified	0
Differentially Private Covariate Balancing Causal Inference	Oct 18, 2024	Causal Inference	—Unverified	0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference	Oct 18, 2024	Causal Inferencecounterfactual	—Unverified	0
Counterfactual Generative Modeling with Variational Causal Inference	Oct 16, 2024	Causal Inferencecounterfactual	CodeCode Available	1
Do LLMs Have the Generalization Ability in Conducting Causal Inference?	Oct 15, 2024	Causal Inferencecounterfactual	CodeCode Available	0
A Practical Approach to Causal Inference over Time	Oct 14, 2024	Causal InferenceEconometrics	CodeCode Available	0
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal 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