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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 471–480 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning	Aug 30, 2024	Causal InferenceDimensionality Reduction	—Unverified	0
Higher order definition of causality by optimally conditioned transfer entropy	Aug 30, 2024	Causal Inference	—Unverified	0
Using LLMs for Explaining Sets of Counterfactual Examples to Final Users	Aug 27, 2024	Causal Inferencecounterfactual	CodeCode Available	0
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation	Aug 27, 2024	Causal Inference	—Unverified	0
Can Transformers Do Enumerative Geometry?	Aug 27, 2024	Activation Function SynthesisCausal Inference	CodeCode Available	0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models	Aug 26, 2024	Bayesian InferenceCausal Inference	—Unverified	0
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth	Aug 23, 2024	Causal InferenceMixture-of-Experts	—Unverified	0
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence	Aug 23, 2024	Causal Inference	CodeCode Available	0
Towards Deconfounded Image-Text Matching with Causal Inference	Aug 22, 2024	Causal InferenceImage-text matching	—Unverified	0
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling	Aug 21, 2024	Causal InferenceMarketing	—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