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 1351–1375 of 1722 papers

Title	Date	Tasks	Status
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available
Normalizing Flows for Interventional Density Estimation	Sep 13, 2022	Causal InferenceDensity Estimation	CodeCode Available
Causal Feature Learning in the Social Sciences	Mar 17, 2025	Causal InferenceVariable Selection	CodeCode Available
Causal fault localisation in dataflow systems	Apr 24, 2023	Causal Inference	CodeCode Available
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling	Aug 21, 2022	Causal Inferencecounterfactual	CodeCode Available
Integer Programming for Causal Structure Learning in the Presence of Latent Variables	Feb 5, 2021	Causal Inferencevalid	CodeCode Available
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions	Nov 24, 2024	Action ClassificationAction Recognition	CodeCode Available
Causal Falsification of Digital Twins	Jan 17, 2023	Causal Inference	CodeCode Available
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	CodeCode Available
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis	Aug 17, 2024	Causal Inferencecounterfactual	CodeCode Available
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models	Dec 20, 2023	Causal InferenceCommon Sense Reasoning	CodeCode Available
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning	Mar 24, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach	Feb 2, 2024	Causal DiscoveryCausal Inference	CodeCode Available
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering	May 22, 2023	Causal InferenceCollaborative Filtering	CodeCode Available
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification	Jan 11, 2021	Causal Emotion EntailmentCausal Inference	CodeCode Available
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available
Subset verification and search algorithms for causal DAGs	Jan 9, 2023	Causal Inference	CodeCode Available
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state	Apr 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available
Automatic doubly robust inference for linear functionals via calibrated debiased machine learning	Nov 5, 2024	Causal Inferenceregression	CodeCode Available
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data	Dec 17, 2023	Causal InferenceDecision Making	CodeCode Available
On Adaptive Propensity Score Truncation in Causal Inference	Jul 18, 2017	Causal Inference	CodeCode Available
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available
Convolutional neural networks for valid and efficient causal inference	Jan 27, 2023	Causal Inferencevalid	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