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 151–175 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1	5
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks	Dec 19, 2024	Causal Inference	CodeCode Available	1	5
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic	Sep 23, 2023	Causal Inference	CodeCode Available	1	5
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa	Jun 13, 2022	Causal Inference	CodeCode Available	1	5
Estimating the Causal Effect of Early ArXiving on Paper Acceptance	Jun 24, 2023	Causal Inference	CodeCode Available	1	5
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	CodeCode Available	1	5
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis	Apr 19, 2021	Causal Inference	CodeCode Available	1	5
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1	5
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation	Jul 23, 2024	Causal Inferencecounterfactual	CodeCode Available	1	5
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs	Nov 20, 2021	Causal Inference	CodeCode Available	1	5
General targeted machine learning for modern causal mediation analysis	Aug 26, 2024	Causal Inference	CodeCode Available	1	5
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations	Jun 16, 2022	Causal Inferencecounterfactual	CodeCode Available	1	5
Causal Incremental Graph Convolution for Recommender System Retraining	Aug 16, 2021	Causal InferenceRecommendation Systems	CodeCode Available	1	5
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images	Sep 30, 2023	Causal InferenceEarth Observation	CodeCode Available	1	5
Causal Image Modeling for Efficient Visual Understanding	Oct 10, 2024	Causal Inference	CodeCode Available	1	5
A Brief Introduction to Causal Inference in Machine Learning	May 14, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1	5
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	Jun 13, 2022	Causal InferenceFault Diagnosis	CodeCode Available	1	5
Causal Inference for Qualitative Outcomes	Feb 17, 2025	Causal Inference	CodeCode Available	1	5
Causal Inference in Recommender Systems: A Survey and Future Directions	Aug 26, 2022	Causal InferenceClick-Through Rate Prediction	CodeCode Available	1	5
Causal Inference for Spatial Treatments	Oct 31, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective	Dec 21, 2023	Anomaly DetectionCausal Inference	CodeCode Available	1	5
Discriminative and Consistent Representation Distillation	Jul 16, 2024	Causal InferenceContrastive Learning	CodeCode Available	1	5
Invariant Representation Learning for Treatment Effect Estimation	Nov 24, 2020	Causal IdentificationCausal Inference	CodeCode Available	1	5
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis	Jul 24, 2022	Causal Inferencecounterfactual	CodeCode Available	1	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