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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 591–600 of 1722 papers

Title	Date	Tasks	Status	Hype
Partially Specified Causal Simulations	Sep 19, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Causal Discovery and Counterfactual Explanations for Personalized Student Learning	Sep 18, 2023	Causal DiscoveryCausal Inference	—Unverified	0
The role of causality in explainable artificial intelligence	Sep 18, 2023	Causal DiscoveryCausal Identification	—Unverified	0
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity	Sep 17, 2023	Causal Inferencecounterfactual	—Unverified	0
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in Conversations	Sep 15, 2023	Causal Emotion EntailmentCausal Inference	CodeCode Available	0
Causal inference in network experiments: regression-based analysis and design-based properties	Sep 14, 2023	Causal Inferenceregression	—Unverified	0
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme	Sep 13, 2023	Causal InferenceTime Series	—Unverified	0
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry	Sep 11, 2023	Causal InferenceDecision Making	—Unverified	0
Inferring physical laws by artificial intelligence based causal models	Sep 8, 2023	Causal Inferencescientific discovery	—Unverified	0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions	Sep 7, 2023	Causal InferenceSelection bias	—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