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 1326–1350 of 1722 papers

Title	Date	Tasks	Status
Linear Contextual Bandits with Interference	Sep 24, 2024	Causal InferenceDecision Making	—Unverified
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference	Jun 18, 2025	Causal Inference	—Unverified
LLMs Are Prone to Fallacies in Causal Inference	Jun 18, 2024	Causal Inferencecounterfactual	—Unverified
LMPriors: Pre-Trained Language Models as Task-Specific Priors	Oct 22, 2022	Causal InferenceCommon Sense Reasoning	—Unverified
Local Composite Quantile Regression for Regression Discontinuity	Sep 8, 2020	Causal Inferencequantile regression	—Unverified
Local Gaussian process extrapolation for BART models with applications to causal inference	Apr 23, 2022	Causal InferenceGaussian Processes	—Unverified
Local Policy Improvement for Recommender Systems	Dec 22, 2022	Causal InferenceRecommendation Systems	—Unverified
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect	Nov 21, 2024	Causal InferenceOff-policy evaluation	—Unverified
Logical Bias Learning for Object Relation Prediction	Oct 1, 2023	Causal InferenceDecision Making	—Unverified
Longitudinal data analysis using generalized linear models	Apr 1, 1986	Causal InferenceParameter Prediction	—Unverified
Long-term causal effects via behavioral game theory	Jan 10, 2015	Causal Inference	—Unverified
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis	Mar 10, 2025	Causal InferenceFeature Importance	—Unverified
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls	Jul 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified
Machine Learning for Public Administration Research, with Application to Organizational Reputation	May 11, 2018	BIG-bench Machine LearningCausal Inference	—Unverified
Machine learning in the social and health sciences	Jun 20, 2021	BIG-bench Machine LearningCausal Inference	—Unverified
Machine Learning Methods Economists Should Know About	Mar 24, 2019	BIG-bench Machine LearningCausal Inference	—Unverified
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation	May 19, 2025	Causal InferencePrediction	—Unverified
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available
Structural Intervention Distance (SID) for Evaluating Causal Graphs	Jun 5, 2013	Causal Inference	CodeCode Available
Non-Parametric Inference of Relational Dependence	Jun 30, 2022	Causal Inference	CodeCode Available
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery	Jan 31, 2018	Causal DiscoveryCausal Inference	CodeCode Available
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation	Jun 12, 2019	Causal InferenceDecision Making	CodeCode Available

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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