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 1201–1210 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Adjustment Criteria for Recovering Causal Effects from Missing Data	Jul 2, 2019	Causal InferenceSelection bias	—Unverified	0	0
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations	Apr 17, 2023	Causal Inferenceregression	—Unverified	0	0
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation	Jul 10, 2024	Causal InferenceCollaborative Filtering	—Unverified	0	0
Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments	Sep 10, 2024	Causal Inference	—Unverified	0	0
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency	Jan 1, 2025	Causal InferenceMamba	—Unverified	0	0
Adventures in Demand Analysis Using AI	Dec 31, 2024	Causal Inference	—Unverified	0	0
Adversarial Estimators	Apr 22, 2022	Causal InferenceEconometrics	—Unverified	0	0
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference	Sep 10, 2019	Causal Inferenceregression	—Unverified	0	0
AFA-PredNet: The action modulation within predictive coding	Apr 11, 2018	Causal InferencePrediction	—Unverified	0	0
A fast PC algorithm for high dimensional causal discovery with multi-core PCs	Feb 9, 2015	Causal DiscoveryCausal Inference	—Unverified	0	0

Show:10 25 50

← PrevPage 121 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