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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 91–100 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Unsupervised Semantic Segmentation	Oct 11, 2023	Causal InferencePrediction	CodeCode Available	1
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Automatic Detection of Influential Actors in Disinformation Networks	May 21, 2020	Causal Inference	CodeCode Available	1
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior	May 27, 2022	Causal Inferencecounterfactual	CodeCode Available	1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias	May 5, 2018	Causal DiscoveryCausal Inference	CodeCode Available	1
Contextual Debiasing for Visual Recognition With Causal Mechanisms	Jan 1, 2022	Causal Inferencecounterfactual	CodeCode Available	1
A Graph Neural Network Framework for Causal Inference in Brain Networks	Oct 14, 2020	Causal InferenceGraph Neural Network	CodeCode Available	1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification	Aug 19, 2021	Causal Inferencecounterfactual	CodeCode Available	1
Counterfactual Explainable Recommendation	Aug 24, 2021	Causal Inferencecounterfactual	CodeCode Available	1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space	Jul 16, 2022	6D Pose EstimationCausal Inference	CodeCode Available	1

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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