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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 771–780 of 1722 papers

Title	Date	Tasks	Status	Hype
Effect of secular trend in drug effectiveness study in real world data	Aug 18, 2018	AttributeCausal Inference	—Unverified	0
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems	Oct 5, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Causal Inference in Geoscience and Remote Sensing from Observational Data	Dec 7, 2020	Causal Inferenceregression	—Unverified	0
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings	Jan 3, 2022	Causal Inference	—Unverified	0
Efficient Computation of Counterfactual Bounds	Jul 17, 2023	Causal Inferencecounterfactual	—Unverified	0
Efficient Counterfactual Learning from Bandit Feedback	Sep 10, 2018	Causal Inferencecounterfactual	—Unverified	0
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders	Sep 15, 2020	Causal Inference	—Unverified	0
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning	May 3, 2023	Causal Inference	—Unverified	0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval	Jan 1, 2022	Causal InferenceContrastive Learning	—Unverified	0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis	Apr 24, 2024	Causal InferenceDensity Estimation	—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