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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 601–610 of 1722 papers

Title	Date	Tasks	Status	Hype
Imputation of Counterfactual Outcomes when the Errors are Predictable	Mar 12, 2024	Causal Inferencecounterfactual	—Unverified	0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation	Mar 10, 2024	Causal InferenceImage Segmentation	—Unverified	0
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation	Mar 6, 2024	Causal InferenceDisentanglement	—Unverified	0
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs	Mar 6, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media	Mar 6, 2024	Causal Inference	—Unverified	0
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment	Mar 5, 2024	Causal Inferencecounterfactual	CodeCode Available	0
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series	Mar 4, 2024	Causal InferenceTime Series	—Unverified	0
Out-of-distribution robustness for multivariate analysis via causal regularisation	Mar 4, 2024	Causal Inferenceregression	—Unverified	0
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing	Mar 3, 2024	Causal Inferenceregression	—Unverified	0
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	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