SOTAVerified|Agents Browse Leaderboard About

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 1321–1330 of 1722 papers

Title	Date	Tasks	Status	Hype
Leveraging directed causal discovery to detect latent common causes	Oct 22, 2019	Causal DiscoveryCausal Inference	—Unverified	0
Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises	Jun 15, 2025	Causal InferenceData Integration	—Unverified	0
Limits of Approximating the Median Treatment Effect	Mar 15, 2024	Causal Inference	—Unverified	0
Limits to causal inference with state-space reconstruction for infectious disease	Oct 29, 2016	Causal InferenceSensitivity	—Unverified	0
Linear and nonlinear causality in financial markets	Dec 18, 2023	Causal InferenceManagement	—Unverified	0
Linear Contextual Bandits with Interference	Sep 24, 2024	Causal InferenceDecision Making	—Unverified	0
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference	Jun 18, 2025	Causal Inference	—Unverified	0
LLMs Are Prone to Fallacies in Causal Inference	Jun 18, 2024	Causal Inferencecounterfactual	—Unverified	0
LMPriors: Pre-Trained Language Models as Task-Specific Priors	Oct 22, 2022	Causal InferenceCommon Sense Reasoning	—Unverified	0
Local Composite Quantile Regression for Regression Discontinuity	Sep 8, 2020	Causal Inferencequantile regression	—Unverified	0

Show:10 25 50

← PrevPage 133 of 173Next →

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