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 1376–1400 of 1722 papers

Title	Date	Tasks	Status
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	Jun 2, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available
One-Step Estimation of Differentiable Hilbert-Valued Parameters	Mar 29, 2023	Causal Inferencecounterfactual	CodeCode Available
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	Sep 9, 2019	Causal InferenceRecommendation Systems	CodeCode Available
Automated causal inference in application to randomized controlled clinical trials	Jan 15, 2022	Causal Inference	CodeCode Available
Surrogate Outcomes and Transportability	Jun 19, 2018	Causal Inference	CodeCode Available
DecoR: Deconfounding Time Series with Robust Regression	Jun 11, 2024	Causal Inferenceregression	CodeCode Available
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments	Dec 5, 2024	Causal InferenceDecision Making	CodeCode Available
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models	Feb 20, 2021	Causal Inference	CodeCode Available
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	Jun 23, 2020	Causal InferenceClinical Knowledge	CodeCode Available
Deep Counterfactual Networks with Propensity-Dropout	Jun 19, 2017	Causal Inferencecounterfactual	CodeCode Available
Interventional Video Grounding with Dual Contrastive Learning	Jun 21, 2021	Causal InferenceContrastive Learning	CodeCode Available
Deep Learning-based Group Causal Inference in Multivariate Time-series	Jan 16, 2024	Causal InferenceDeep Learning	CodeCode Available
Intervention Design for Effective Sim2Real Transfer	Dec 3, 2020	Causal InferenceData Augmentation	CodeCode Available
SurvCaus : Representation Balancing for Survival Causal Inference	Mar 29, 2022	Causal Inferencecounterfactual	CodeCode Available
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders	Feb 1, 2019	Causal InferenceTime Series	CodeCode Available
A Primer on Deep Learning for Causal Inference	Oct 9, 2021	Causal InferenceDeep Learning	CodeCode Available
Causal Effect Estimation using Variational Information Bottleneck	Oct 26, 2021	Causal Inferencecounterfactual	CodeCode Available
Causal Effect Estimation on Hierarchical Spatial Graph Data	Aug 6, 2023	Causal InferenceTime Series	CodeCode Available
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning	Oct 10, 2022	Causal InferenceDeep Learning	CodeCode Available
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects	May 20, 2018	Causal Inference	CodeCode Available
Deep representation learning for individualized treatment effect estimation using electronic health records	Dec 1, 2019	Causal Inferencecounterfactual	CodeCode Available
Causal Discovery using Compression-Complexity Measures	Oct 19, 2020	Causal DiscoveryCausal Inference	CodeCode Available
Causal Discovery in Linear Structural Causal Models with Deterministic Relations	Oct 30, 2021	Causal DiscoveryCausal Inference	CodeCode Available
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm	May 28, 2024	Causal Inference	CodeCode Available
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	Causal Inference	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