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 751–760 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
A Topological Perspective on Causal Inference	Jul 18, 2021	Causal Inferencevalid	—Unverified	0	0
A Graphical Approach to State Variable Selection in Off-policy Learning	Jan 1, 2025	Causal InferenceDimensionality Reduction	—Unverified	0	0
Causal Inference in Geoscience and Remote Sensing from Observational Data	Dec 7, 2020	Causal Inferenceregression	—Unverified	0	0
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems	Oct 5, 2023	Causal DiscoveryCausal Inference	—Unverified	0	0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation	Nov 26, 2024	Causal Inferencecounterfactual	—Unverified	0	0
Causal Inference in Educational Systems: A Graphical Modeling Approach	Aug 2, 2021	Causal Inference	—Unverified	0	0
INTAGS: Interactive Agent-Guided Simulation	Sep 4, 2023	Algorithmic TradingCausal Inference	—Unverified	0	0
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings	Jan 3, 2022	Causal Inference	—Unverified	0	0
A continuous Structural Intervention Distance to compare Causal Graphs	Jul 31, 2023	Causal Inference	—Unverified	0	0
A Causal Adjustment Module for Debiasing Scene Graph Generation	Mar 22, 2025	AttributeCausal Inference	—Unverified	0	0

Show:10 25 50

← PrevPage 76 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