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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 981–990 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Scalable Computation of Causal Bounds	Aug 4, 2023	Causal Inference	—Unverified	0	0
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies	Mar 10, 2016	Causal InferenceTime Series	—Unverified	0	0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality	Aug 9, 2014	Causal InferenceGeneralization Bounds	—Unverified	0	0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions	May 6, 2025	Causal InferenceDomain Adaptation	—Unverified	0	0
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding	May 22, 2025	Causal InferenceHallucination	—Unverified	0	0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge	Feb 11, 2021	Causal Inferencecounterfactual	—Unverified	0	0
Semidefinite tests for latent causal structures	Jan 3, 2017	Causal Inference	—Unverified	0	0
Semiparametric Triple Difference Estimators	Feb 27, 2025	Causal Inference	—Unverified	0	0
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data	May 22, 2023	Causal InferencePartially Labeled Datasets	—Unverified	0	0
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion	Nov 2, 2016	Causal Inferencefeature selection	—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