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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 1301–1310 of 1722 papers

Title	Date	Tasks	Status	Hype
Learning Causal State Representations of Partially Observable Environments	Jun 25, 2019	Causal InferenceReinforcement Learning	—Unverified	0
Learning Causal Structures Using Regression Invariance	May 26, 2017	Causal Inferenceregression	—Unverified	0
Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees	Mar 1, 2025	Causal Inferenceregression	—Unverified	0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects	Apr 21, 2020	Causal Inferencecounterfactual	—Unverified	0
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization	Jun 2, 2022	Causal Inferencecounterfactual	—Unverified	0
Learning Fair Policies for Multi-stage Selection Problems from Observational Data	Dec 20, 2023	Causal InferenceFairness	—Unverified	0
Learning from Pairwise Marginal Independencies	Aug 2, 2015	Causal Inference	—Unverified	0
Learning high-dimensional directed acyclic graphs with latent and selection variables	Apr 29, 2011	Causal InferenceVocal Bursts Intensity Prediction	—Unverified	0
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data	Feb 22, 2022	Causal InferenceRepresentation Learning	—Unverified	0
Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy	May 1, 2019	Causal InferenceClustering	—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