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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 481–490 of 1722 papers

Title	Date	Tasks	Status	Hype
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding	Feb 4, 2024	Causal InferenceDimensionality Reduction	CodeCode Available	0
PresAIse, A Prescriptive AI Solution for Enterprises	Feb 3, 2024	Causal InferenceDecision Making	—Unverified	0
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach	Feb 2, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data	Feb 1, 2024	Causal InferenceMarketing	—Unverified	0
Bayesian Causal Inference with Gaussian Process Networks	Feb 1, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0
Explaining Text Classifiers with Counterfactual Representations	Feb 1, 2024	AttributeCausal Inference	CodeCode Available	0
How Being Inside or Outside of Buildings Affects the Causal Relationship Between Weather and Pain Among People Living with Chronic Pain	Jan 31, 2024	Causal Inference	—Unverified	0
Continuous Treatment Effects with Surrogate Outcomes	Jan 31, 2024	Causal InferenceSelection bias	—Unverified	0
Causal Coordinated Concurrent Reinforcement Learning	Jan 31, 2024	Causal Inferencereinforcement-learning	—Unverified	0
Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity	Jan 29, 2024	Causal Inferencecounterfactual	—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