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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 1201–1210 of 1722 papers

Title	Date	Tasks	Status	Hype
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees	Feb 3, 2025	Causal InferenceImputation	—Unverified	0
Heterophilic Graph Neural Networks Optimization with Causal Message-passing	Nov 21, 2024	Causal InferenceGraph Learning	—Unverified	0
Heteroskedasticity as a Signature of Association for Age-Related Genes	Nov 15, 2023	Causal InferenceHuman Aging	—Unverified	0
Hi-CI: Deep Causal Inference in High Dimensions	Aug 22, 2020	Causal Inferencecounterfactual	—Unverified	0
Latent State Inference in a Spatiotemporal Generative Model	Sep 21, 2020	Causal InferenceTime Series	—Unverified	0
Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs	Oct 3, 2021	Causal Inferenceregression	—Unverified	0
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation	Nov 3, 2020	Causal Inferencefeature selection	—Unverified	0
High-dimensional Inference for Dynamic Treatment Effects	Oct 10, 2021	Causal InferenceVocal Bursts Intensity Prediction	—Unverified	0
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework	Nov 26, 2019	Causal Inferenceregression	—Unverified	0
High Precision Causal Model Evaluation with Conditional Randomization	Nov 3, 2023	Causal Inferencemodel	—Unverified	0

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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