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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 1561–1570 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Connecting Data to Mechanisms with Meta Structual Causal Model	Sep 29, 2021	Causal InferenceRepresentation Learning	—Unverified	0	0
Connecting the Dots: Identifying Network Structure via Graph Signal Processing	Oct 31, 2018	Causal Inferencegraph construction	—Unverified	0	0
Consistency of Causal Inference under the Additive Noise Model	Dec 19, 2013	Causal Inference	—Unverified	0	0
Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels	Apr 22, 2025	Causal Inference	—Unverified	0	0
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statistics	May 15, 2024	Causal Inference	—Unverified	0	0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles	May 1, 2020	Causal DiscoveryCausal Inference	—Unverified	0	0
Contagion Effect Estimation Using Proximal Embeddings	Jun 4, 2023	Causal InferenceRepresentation Learning	—Unverified	0	0
Conterfactual Generative Zero-Shot Semantic Segmentation	Jun 11, 2021	Causal Inferencecounterfactual	—Unverified	0	0
Context-dependent Causality (the Non-Nonotonic Case)	Apr 7, 2024	Causal Inference	—Unverified	0	0
Context-Specific Causal Discovery for Categorical Data Using Staged Trees	Jun 8, 2021	Causal DiscoveryCausal 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