SOTAVerified|Agents Browse Leaderboard About

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 811–820 of 1722 papers

Title	Date	Tasks	Status	Hype
Antibiotic-dependent instability of homeostatic plasticity for growth and environmental load	Nov 27, 2022	Causal Inference	—Unverified	0
Direct-Effect Risk Minimization for Domain Generalization	Nov 26, 2022	Causal InferenceDomain Generalization	CodeCode Available	0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records	Nov 21, 2022	Causal InferenceDecision Making	—Unverified	0
Applications of statistical causal inference in software engineering	Nov 21, 2022	Causal Inference	—Unverified	0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection	Nov 19, 2022	Binary ClassificationCausal Inference	—Unverified	0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models	Nov 17, 2022	Causal InferenceEconometrics	—Unverified	0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders	Nov 16, 2022	Causal InferenceFairness	—Unverified	0
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space	Nov 15, 2022	Causal InferenceRepresentation Learning	CodeCode Available	0
Graph Neural Networks for Causal Inference Under Network Confounding	Nov 15, 2022	Causal InferenceSelection bias	—Unverified	0
Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation	Nov 15, 2022	Causal Inferencecounterfactual	CodeCode Available	0

Show:10 25 50

← PrevPage 82 of 173Next →

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