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 1251–1275 of 1722 papers

Title	Date	Tasks	Status
Answering Complex Causal Queries With the Maximum Causal Set Effect	Dec 1, 2021	Causal Inference	—Unverified
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity	Sep 17, 2023	Causal Inferencecounterfactual	—Unverified
Antibiotic-dependent instability of homeostatic plasticity for growth and environmental load	Nov 27, 2022	Causal Inference	—Unverified
Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records	Mar 8, 2025	Causal InferenceDecision Making	—Unverified
A Perspective on Gaussian Processes for Earth Observation	Jul 2, 2020	Causal InferenceEarth Observation	—Unverified
A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users	Jan 6, 2025	Causal InferencePoint Processes	—Unverified
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance	Aug 19, 2022	Causal InferenceFraud Detection	—Unverified
Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data	Jan 24, 2022	Causal InferenceClustering	—Unverified
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review	Mar 13, 2023	ArticlesCausal Inference	—Unverified
Applications of statistical causal inference in software engineering	Nov 21, 2022	Causal Inference	—Unverified
A Primer on Causality in Data Science	Sep 7, 2018	Causal Inference	—Unverified
A primer on optimal transport for causal inference with observational data	Mar 10, 2025	Causal Inferencecounterfactual	—Unverified
A rational model of causal inference with continuous causes	Dec 1, 2011	Causal Inference	—Unverified
A Review of Generalizability and Transportability	Feb 23, 2021	Causal Inference	—Unverified
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?	Jun 3, 2025	Causal Inference	—Unverified
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery	Jan 13, 2022	Causal InferenceData Integration	—Unverified
Artificial Intelligence and Aesthetic Judgment	Aug 21, 2023	Causal Inference	—Unverified
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions	Apr 29, 2025	Causal InferenceFederated Learning	—Unverified
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward	May 15, 2023	Causal InferenceEarth Observation	—Unverified
A Semiparametric Approach to Causal Inference	Nov 1, 2024	Causal Inferencecounterfactual	—Unverified
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference	Feb 23, 2021	Causal InferenceExperimental Design	—Unverified
Assimilative Causal Inference	May 20, 2025	Causal InferenceTime Series	—Unverified
A step towards the applicability of algorithms based on invariant causal learning on observational data	Apr 5, 2023	Causal DiscoveryCausal Inference	—Unverified
Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework?	Aug 22, 2023	Causal Inferencecounterfactual	—Unverified
A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment	Nov 15, 2024	Causal InferenceEvent Causality Identification	—Unverified

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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