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 91–100 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal-Copilot: An Autonomous Causal Analysis Agent	Apr 17, 2025	Causal DiscoveryCausal Inference	—Unverified	0
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments	Apr 16, 2025	BenchmarkingCausal Inference	CodeCode Available	0
Reimagining Urban Science: Scaling Causal Inference with Large Language Models	Apr 15, 2025	Causal Inference	—Unverified	0
On relative universality, regression operator, and conditional independence	Apr 15, 2025	Causal InferenceDimensionality Reduction	—Unverified	0
A Two-Stage Interpretable Matching Framework for Causal Inference	Apr 13, 2025	Causal Inference	—Unverified	0
Double Machine Learning for Causal Inference under Shared-State Interference	Apr 10, 2025	Causal InferenceRecommendation Systems	CodeCode Available	0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability	Apr 10, 2025	Causal InferenceDecision Making	—Unverified	0
Better Decisions through the Right Causal World Model	Apr 9, 2025	Causal InferenceModel extraction	—Unverified	0
Causal Inference under Interference through Designed Markets	Apr 9, 2025	Causal Inference	—Unverified	0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem	Apr 6, 2025	Causal InferenceDomain Adaptation	—Unverified	0

Show:10 25 50

← PrevPage 10 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