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 401–425 of 1722 papers

Title	Date	Tasks	Status	Score
Identifying Causal Structure in Dynamical Systems	Jun 6, 2020	Causal IdentificationCausal Inference	CodeCode Available	5
Identifying Patient-Specific Root Causes of Disease	May 23, 2022	Causal InferenceDiagnostic	CodeCode Available	5
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available	5
Inference on Optimal Dynamic Policies via Softmax Approximation	Mar 8, 2023	Causal InferenceDecision Making	CodeCode Available	5
Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence	May 27, 2023	Causal InferenceGraph Neural Network	CodeCode Available	5
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available	5
APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight	May 20, 2025	Causal InferenceDecision Making	CodeCode Available	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	5
Moment-Matching Graph-Networks for Causal Inference	Jul 20, 2020	Causal InferenceGraph Neural Network	CodeCode Available	5
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	CodeCode Available	5
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models	Feb 20, 2021	Causal Inference	CodeCode Available	5
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis	Aug 17, 2024	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	5
Is machine learning good or bad for the natural sciences?	May 28, 2024	Causal InferencePhilosophy	CodeCode Available	5
Kernel-based estimators for functional causal effects	Mar 6, 2025	Causal Inference	CodeCode Available	5
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds	May 20, 2025	Causal Inferencecounterfactual	CodeCode Available	5
Causal Campbell-Goodhart's law and Reinforcement Learning	Nov 2, 2020	Causal InferenceDecision Making	CodeCode Available	5
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	Jun 23, 2020	Causal InferenceClinical Knowledge	CodeCode Available	5
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects	May 20, 2018	Causal Inference	CodeCode Available	5
Convolutional neural networks for valid and efficient causal inference	Jan 27, 2023	Causal Inferencevalid	CodeCode Available	5
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available	5
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Feb 12, 2024	Causal InferenceDisentanglement	CodeCode Available	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