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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 1541–1550 of 1722 papers

Title	Date	Tasks	Status	Hype
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies	Sep 22, 2024	Causal Inference	CodeCode Available	0
Performance of Cross-Validated Targeted Maximum Likelihood Estimation	Sep 17, 2024	Causal Inferenceregression	CodeCode Available	0
Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators	Mar 21, 2025	Causal Inferencevalid	CodeCode Available	0
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations	Nov 25, 2019	Causal Inferencecoreference-resolution	CodeCode Available	0
Estimation Beyond Data Reweighting: Kernel Method of Moments	May 18, 2023	Causal Inference	CodeCode Available	0
LLMScan: Causal Scan for LLM Misbehavior Detection	Oct 22, 2024	Causal Inference	CodeCode Available	0
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits	Nov 9, 2023	Causal InferenceExperimental Design	CodeCode Available	0
What is the Effect of Importance Weighting in Deep Learning?	Dec 8, 2018	Causal InferenceDeep Learning	CodeCode Available	0
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs	Oct 25, 2023	Causal DiscoveryCausal Inference	CodeCode Available	0
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data	Jun 9, 2022	Causal Inferencestatistical independence testing	CodeCode Available	0

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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