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 1151–1160 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data	Sep 12, 2016	Causal Inference	—Unverified	0	0
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations	Aug 16, 2023	Causal InferenceRepresentation Learning	—Unverified	0	0
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry	May 24, 2023	Causal Inferencecounterfactual	—Unverified	0	0
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks	Aug 4, 2024	Causal Inference	—Unverified	0	0
Long-term Causal Inference via Modeling Sequential Latent Confounding	Feb 26, 2025	Causal Inference	—Unverified	0	0
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects	Mar 3, 2025	Causal Inferencecounterfactual	—Unverified	0	0
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference	May 16, 2025	Causal InferenceData Integration	—Unverified	0	0
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery	May 16, 2025	Causal DiscoveryCausal Inference	—Unverified	0	0
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation	May 16, 2025	Causal Inference	—Unverified	0	0
Correlation vs causation in Alzheimer's disease: an interpretability-driven study	Jun 11, 2025	Causal InferenceFeature Importance	—Unverified	0	0

Show:10 25 50

← PrevPage 116 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