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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 431–440 of 1722 papers

Title	Date	Tasks	Status	Hype
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
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference	Oct 18, 2024	Causal Inferencecounterfactual	—Unverified	0
Differentially Private Covariate Balancing Causal Inference	Oct 18, 2024	Causal Inference	—Unverified	0
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
Learning Representations of Instruments for Partial Identification of Treatment Effects	Oct 11, 2024	Causal InferenceDecision Making	CodeCode Available	0
Medical Image Quality Assessment based on Probability of Necessity and Sufficiency	Oct 10, 2024	Causal InferenceImage Quality Assessment	—Unverified	0
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference	Oct 10, 2024	Causal InferenceClickbait Detection	—Unverified	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