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 626–650 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Effect Estimation on Hierarchical Spatial Graph Data	Aug 6, 2023	Causal InferenceTime Series	CodeCode Available	0
Scalable Computation of Causal Bounds	Aug 4, 2023	Causal Inference	—Unverified	0
Improving the Variance of Differentially Private Randomized Experiments through Clustering	Aug 2, 2023	Causal InferenceClustering	—Unverified	0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference	Aug 2, 2023	Causal Inferencecounterfactual	—Unverified	0
A continuous Structural Intervention Distance to compare Causal Graphs	Jul 31, 2023	Causal Inference	—Unverified	0
Causal Inference for Banking Finance and Insurance A Survey	Jul 31, 2023	Causal InferenceSurvey	—Unverified	0
Learning sources of variability from high-dimensional observational studies	Jul 26, 2023	Causal Inference	CodeCode Available	0
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network	Jul 24, 2023	Causal Inferencecounterfactual	—Unverified	0
Multiply Robust Estimator Circumvents Hyperparameter Tuning of Neural Network Models in Causal Inference	Jul 20, 2023	Causal Inference	—Unverified	0
Asymptotically Unbiased Synthetic Control Methods by Density Matching	Jul 20, 2023	Causal Inferencecounterfactual	—Unverified	0
Causality-oriented robustness: exploiting general noise interventions	Jul 18, 2023	Causal InferenceDomain Adaptation	CodeCode Available	0
An R package for parametric estimation of causal effects	Jul 17, 2023	Causal Inference	—Unverified	0
Efficient Computation of Counterfactual Bounds	Jul 17, 2023	Causal Inferencecounterfactual	—Unverified	0
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation	Jul 11, 2023	BenchmarkingCausal Discovery	—Unverified	0
Unbiased Scene Graph Generation via Two-stage Causal Modeling	Jul 11, 2023	Causal InferenceGraph Generation	—Unverified	0
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial	Jul 10, 2023	Causal Inference	—Unverified	0
Counterfactual Explanation for Fairness in Recommendation	Jul 10, 2023	AttributeCausal Inference	—Unverified	0
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference	Jul 3, 2023	Causal Inferencecounterfactual	—Unverified	0
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning	Jun 30, 2023	Causal InferenceMedical Report Generation	CodeCode Available	3
Causal inference for the expected number of recurrent events in the presence of a terminal event	Jun 28, 2023	Causal Inference	—Unverified	0
Predictive Coding beyond Correlations	Jun 27, 2023	Bayesian InferenceCausal Discovery	—Unverified	0
Towards Trustworthy Explanation: On Causal Rationalization	Jun 25, 2023	Causal Inference	CodeCode Available	0
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions	Jun 25, 2023	Causal Inference	—Unverified	0
Estimating the Causal Effect of Early ArXiving on Paper Acceptance	Jun 24, 2023	Causal Inference	CodeCode Available	1
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation	Jun 21, 2023	Causal InferenceRepresentation Learning	CodeCode Available	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