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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 1381–1390 of 1722 papers

Title	Date	Tasks	Status	Hype
DecoR: Deconfounding Time Series with Robust Regression	Jun 11, 2024	Causal Inferenceregression	CodeCode Available	0
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments	Dec 5, 2024	Causal InferenceDecision Making	CodeCode Available	0
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models	Feb 20, 2021	Causal Inference	CodeCode Available	0
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	Jun 23, 2020	Causal InferenceClinical Knowledge	CodeCode Available	0
Deep Counterfactual Networks with Propensity-Dropout	Jun 19, 2017	Causal Inferencecounterfactual	CodeCode Available	0
Interventional Video Grounding with Dual Contrastive Learning	Jun 21, 2021	Causal InferenceContrastive Learning	CodeCode Available	0
Deep Learning-based Group Causal Inference in Multivariate Time-series	Jan 16, 2024	Causal InferenceDeep Learning	CodeCode Available	0
Intervention Design for Effective Sim2Real Transfer	Dec 3, 2020	Causal InferenceData Augmentation	CodeCode Available	0
SurvCaus : Representation Balancing for Survival Causal Inference	Mar 29, 2022	Causal Inferencecounterfactual	CodeCode Available	0
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders	Feb 1, 2019	Causal InferenceTime Series	CodeCode Available	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