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 561–570 of 1722 papers

Title	Date	Tasks	Status	Hype
Answering Complex Causal Queries With the Maximum Causal Set Effect	Dec 1, 2021	Causal Inference	—Unverified	0
Continuous Treatment Effects with Surrogate Outcomes	Jan 31, 2024	Causal InferenceSelection bias	—Unverified	0
Causal Bayesian Optimization	May 24, 2020	Bayesian OptimizationCausal Inference	—Unverified	0
An R package for parametric estimation of causal effects	Jul 17, 2023	Causal Inference	—Unverified	0
Causal Bandits: Learning Good Interventions via Causal Inference	Jun 10, 2016	Causal Inference	—Unverified	0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction	Jun 24, 2025	Causal InferenceCPU	—Unverified	0
An Overview of Large Language Models for Statisticians	Feb 25, 2025	Causal InferenceDecision Making	—Unverified	0
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations	Apr 17, 2023	Causal Inferenceregression	—Unverified	0
Contrastive Fairness in Machine Learning	May 17, 2019	BIG-bench Machine LearningCausal Inference	—Unverified	0
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status	Nov 5, 2024	Causal InferenceLanguage Modeling	—Unverified	0

Show:10 25 50

← PrevPage 57 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