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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 531–540 of 1722 papers

Title	Date	Tasks	Status	Hype
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders	Jun 5, 2024	Causal Inference	CodeCode Available	0
Reconciling Heterogeneous Effects in Causal Inference	Jun 5, 2024	Causal InferenceFairness	—Unverified	0
A Tutorial on Doubly Robust Learning for Causal Inference	Jun 2, 2024	Causal Inference	—Unverified	0
Causal Contrastive Learning for Counterfactual Regression Over Time	Jun 1, 2024	Causal InferenceContrastive Learning	—Unverified	0
Synthetic Potential Outcomes and Causal Mixture Identifiability	May 29, 2024	Causal Inferencecounterfactual	—Unverified	0
A Causal Framework for Evaluating Deferring Systems	May 29, 2024	Causal Inference	CodeCode Available	0
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs	May 29, 2024	Causal InferenceGraph Neural Network	CodeCode Available	0
Is machine learning good or bad for the natural sciences?	May 28, 2024	Causal InferencePhilosophy	CodeCode Available	0
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm	May 28, 2024	Causal Inference	CodeCode Available	0
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts	May 28, 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