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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 751–760 of 1722 papers

Title	Date	Tasks	Status	Hype
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects	Jan 26, 2022	Causal Inference	—Unverified	0
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks	Nov 3, 2020	Causal Inference	—Unverified	0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation	Feb 11, 2021	Causal DiscoveryCausal Inference	—Unverified	0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression	Oct 25, 2023	Causal Inferenceregression	—Unverified	0
A discriminative approach for finding and characterizing positivity violations using decision trees	Jul 18, 2019	Causal Inferencevalid	—Unverified	0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis	Apr 24, 2024	Causal InferenceDensity Estimation	—Unverified	0
DROID: Driver-centric Risk Object Identification	Jun 24, 2021	Causal InferenceObject	—Unverified	0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference	Jan 20, 2022	Causal Inferencecounterfactual	—Unverified	0
Categoroids: Universal Conditional Independence	Aug 23, 2022	Causal Inference	—Unverified	0
Embodied Scene-aware Human Pose Estimation	Jun 18, 2022	3D Human Pose EstimationCausal Inference	—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