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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 351–360 of 1722 papers

Title	Date	Tasks	Status	Hype
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs	Jun 18, 2024	Causal Inferencecounterfactual	—Unverified	0
LLMs Are Prone to Fallacies in Causal Inference	Jun 18, 2024	Causal Inferencecounterfactual	—Unverified	0
Spillover Detection for Donor Selection in Synthetic Control Models	Jun 17, 2024	Causal Inferencevalid	—Unverified	0
Standardizing Structural Causal Models	Jun 17, 2024	BenchmarkingCausal Inference	CodeCode Available	0
Causal Post-Processing of Predictive Models	Jun 13, 2024	Causal InferenceDecision Making	—Unverified	0
Investigating potential causes of Sepsis with Bayesian network structure learning	Jun 13, 2024	Causal InferenceSpecificity	—Unverified	0
Orthogonalized Estimation of Difference of Q-functions	Jun 12, 2024	Causal Inference	—Unverified	0
Counterfactual-based Root Cause Analysis for Dynamical Systems	Jun 12, 2024	Causal Inferencecounterfactual	—Unverified	0
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework	Jun 12, 2024	BenchmarkingCausal Inference	CodeCode Available	1
Test-Time Fairness and Robustness in Large Language Models	Jun 11, 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