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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 791–800 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
DRTCI: Learning Disentangled Representations for Temporal Causal Inference	Jan 20, 2022	Causal Inferencecounterfactual	—Unverified	0	0
DROID: Driver-centric Risk Object Identification	Jun 24, 2021	Causal InferenceObject	—Unverified	0	0
Causal Inference from Small High-dimensional Datasets	May 19, 2022	Causal InferenceTransfer Learning	—Unverified	0	0
Causal Inference from Slowly Varying Nonstationary Processes	May 11, 2024	Causal IdentificationCausal Inference	—Unverified	0	0
A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data	May 28, 2025	Causal Inferencecounterfactual	—Unverified	0	0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation	Feb 11, 2021	Causal DiscoveryCausal Inference	—Unverified	0	0
Entropic Causal Inference for Neurological Applications	Oct 8, 2020	Causal InferenceFunctional Connectivity	—Unverified	0	0
Entropic Causal Inference: Identifiability and Finite Sample Results	Jan 10, 2021	Causal IdentificationCausal Inference	—Unverified	0	0
Applications of Common Entropy for Causal Inference	Jul 26, 2018	Causal Inferencevalid	—Unverified	0	0
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks	Nov 3, 2020	Causal Inference	—Unverified	0	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