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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 431–440 of 1722 papers

Title	Date	Tasks	Status	Hype
On Causal Inference with Model-Based Outcomes	Mar 28, 2024	Causal Inferencemodel	CodeCode Available	0
Causal-StoNet: Causal Inference for High-Dimensional Complex Data	Mar 27, 2024	Causal InferenceEconometrics	CodeCode Available	0
Semi-Supervised Learning for Deep Causal Generative Models	Mar 27, 2024	Causal Inferencecounterfactual	CodeCode Available	1
Can Large Language Models (or Humans) Disentangle Text?	Mar 25, 2024	Causal InferenceDisentanglement	CodeCode Available	0
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression	Mar 22, 2024	Causal Inferenceregression	CodeCode Available	0
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty	Mar 21, 2024	Causal InferenceDecision Making	—Unverified	0
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery	Mar 21, 2024	Causal InferenceSTS	—Unverified	0
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment	Mar 20, 2024	Action Quality AssessmentAction Quality Assessment Report Generation	CodeCode Available	2
Research on Personal Credit Risk Assessment Methods Based on Causal Inference	Mar 17, 2024	Causal InferenceManagement	—Unverified	0
Limits of Approximating the Median Treatment Effect	Mar 15, 2024	Causal Inference	—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