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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 441–450 of 1722 papers

Title	Date	Tasks	Status	Hype
Lifted Causal Inference in Relational Domains	Mar 15, 2024	Causal Inference	CodeCode Available	0
Algorithmic syntactic causal identification	Mar 14, 2024	Causal IdentificationCausal Inference	—Unverified	0
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey	Mar 14, 2024	Causal InferenceFairness	—Unverified	0
Imputation of Counterfactual Outcomes when the Errors are Predictable	Mar 12, 2024	Causal Inferencecounterfactual	—Unverified	0
Probabilistic Easy Variational Causal Effect	Mar 12, 2024	Causal Inference	—Unverified	0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation	Mar 10, 2024	Causal InferenceImage Segmentation	—Unverified	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 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
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment	Mar 5, 2024	Causal Inferencecounterfactual	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