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 251–275 of 1722 papers

Title	Date	Tasks	Status	Score
Environment Invariant Linear Least Squares	Mar 6, 2023	Causal Inferenceregression	CodeCode Available	5
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets	Mar 29, 2022	Causal InferenceDomain Adaptation	CodeCode Available	5
A Primer on Deep Learning for Causal Inference	Oct 9, 2021	Causal InferenceDeep Learning	CodeCode Available	5
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies	Dec 19, 2021	Causal Inference	CodeCode Available	5
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments	Dec 5, 2024	Causal InferenceDecision Making	CodeCode Available	5
Deep Counterfactual Networks with Propensity-Dropout	Jun 19, 2017	Causal Inferencecounterfactual	CodeCode Available	5
Automated causal inference in application to randomized controlled clinical trials	Jan 15, 2022	Causal Inference	CodeCode Available	5
DecoR: Deconfounding Time Series with Robust Regression	Jun 11, 2024	Causal Inferenceregression	CodeCode Available	5
Deep Learning-based Group Causal Inference in Multivariate Time-series	Jan 16, 2024	Causal InferenceDeep Learning	CodeCode Available	5
Deep representation learning for individualized treatment effect estimation using electronic health records	Dec 1, 2019	Causal Inferencecounterfactual	CodeCode Available	5
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders	Oct 11, 2022	Causal Inference	CodeCode Available	5
Moment-Matching Graph-Networks for Causal Inference	Jul 20, 2020	Causal InferenceGraph Neural Network	CodeCode Available	5
A Latent Causal Inference Framework for Ordinal Variables	Feb 14, 2025	Causal Inference	CodeCode Available	5
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment	Nov 25, 2021	Causal Inference	CodeCode Available	5
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available	5
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	5
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation	Aug 4, 2024	Causal InferenceTransfer Learning	CodeCode Available	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
On the power of conditional independence testing under model-X	May 12, 2020	Causal InferenceLEMMA	CodeCode Available	5
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	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