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 971–980 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Riemannian Metric Learning: Closer to You than You Imagine	Mar 7, 2025	Causal InferenceMetric Learning	—Unverified	0	0
Robust agents learn causal world models	Feb 16, 2024	Causal InferenceTransfer Learning	—Unverified	0	0
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items	Jun 21, 2021	Causal InferenceImputation	—Unverified	0	0
Robust Identifiability in Linear Structural Equation Models of Causal Inference	Jul 14, 2020	Causal Inferenceparameter estimation	—Unverified	0	0
ROCK: A Causal Inference Framework for Reasoning about Commonsense Causality	Nov 16, 2021	Causal Inference	—Unverified	0	0
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial	Jul 10, 2023	Causal Inference	—Unverified	0	0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series	Nov 16, 2019	Anomaly DetectionCausal Inference	—Unverified	0	0
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization	May 28, 2019	Causal InferenceReinforcement Learning	—Unverified	0	0
Sample-Specific Root Causal Inference with Latent Variables	Oct 27, 2022	Causal Inference	—Unverified	0	0
Sampling-based Causal Inference in Cue Combination and its Neural Implementation	Sep 3, 2015	Causal Inference	—Unverified	0	0

Show:10 25 50

← PrevPage 98 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