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 1451–1475 of 1722 papers

Title	Date	Tasks	Status
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows	Sep 15, 2022	Causal InferenceSensitivity	CodeCode Available
Double Robust Representation Learning for Counterfactual Prediction	Oct 15, 2020	Causal Inferencecounterfactual	CodeCode Available
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap	Apr 14, 2021	Causal InferenceSelection bias	CodeCode Available
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?	Oct 22, 2021	Causal Inference	CodeCode Available
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis	Oct 20, 2019	Causal InferenceSurvival Analysis	CodeCode Available
Time-uniform central limit theory and asymptotic confidence sequences	Mar 11, 2021	Causal Inferencevalid	CodeCode Available
Doubly robust identification of treatment effects from multiple environments	Mar 18, 2025	Causal Inference	CodeCode Available
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments	Jan 12, 2025	Causal Inference	CodeCode Available
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects	Dec 9, 2022	Causal Inferencecounterfactual	CodeCode Available
Moment-Matching Graph-Networks for Causal Inference	Jul 20, 2020	Causal InferenceGraph Neural Network	CodeCode Available
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding	Dec 21, 2021	Causal InferenceSensitivity	CodeCode Available
Choice Set Confounding in Discrete Choice	May 17, 2021	Causal InferenceDiscrete Choice Models	CodeCode Available
Challenges of Using Text Classifiers for Causal Inference	Oct 1, 2018	Causal InferenceDecision Making	CodeCode Available
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation	Apr 10, 2024	Causal InferenceState Estimation	CodeCode Available
RNN-based counterfactual prediction, with an application to homestead policy and public schooling	Dec 10, 2017	Causal Inferencecounterfactual	CodeCode Available
Causal Campbell-Goodhart's law and Reinforcement Learning	Nov 2, 2020	Causal InferenceDecision Making	CodeCode Available
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment	Mar 5, 2024	Causal Inferencecounterfactual	CodeCode Available
Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching	Aug 13, 2019	Causal Inference	CodeCode Available
Causal-StoNet: Causal Inference for High-Dimensional Complex Data	Mar 27, 2024	Causal InferenceEconometrics	CodeCode Available
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation	May 25, 2023	Causal Inferencecounterfactual	CodeCode Available
Targeted VAE: Variational and Targeted Learning for Causal Inference	Sep 28, 2020	Causal Inferencecounterfactual	CodeCode Available
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data	Jun 19, 2025	Causal Inference	CodeCode Available
Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations	Feb 10, 2021	Causal Inference	CodeCode Available
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants	Jun 5, 2025	Causal Inference	CodeCode Available
Optimal Transport for Counterfactual Estimation: A Method for Causal Inference	Jan 18, 2023	Causal Inferencecounterfactual	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