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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 511–520 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	CodeCode Available	0	5
Can Large Language Models (or Humans) Disentangle Text?	Mar 25, 2024	Causal InferenceDisentanglement	CodeCode Available	0	5
Compositional Probabilistic and Causal Inference using Tractable Circuit Models	Apr 17, 2023	Causal Inference	CodeCode Available	0	5
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast	Oct 14, 2020	Causal Inference	CodeCode Available	0	5
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available	0	5
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits	Nov 9, 2023	Causal InferenceExperimental Design	CodeCode Available	0	5
Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators	Mar 21, 2025	Causal Inferencevalid	CodeCode Available	0	5
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	Dec 25, 2017	Causal InferenceConformal Prediction	CodeCode Available	0	5
Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media	Apr 7, 2023	Causal Inference	CodeCode Available	0	5
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations	Nov 25, 2019	Causal Inferencecoreference-resolution	CodeCode Available	0	5

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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