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 1526–1550 of 1722 papers

Title	Date	Tasks	Status
Causal Discovery with a Mixture of DAGs	Jan 28, 2019	Causal DiscoveryCausal Inference	—Unverified
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data	Jan 24, 2019	Causal Inference	—Unverified
Shared Causal Paths underlying Alzheimer's dementia and Type 2 Diabetes	Jan 16, 2019	Causal InferenceVocal Bursts Type Prediction	—Unverified
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models	Jan 10, 2019	Causal Inferenceimage-classification	CodeCode Available
Estimating Buildings' Parameters over Time Including Prior Knowledge	Jan 9, 2019	Causal Inferenceparameter estimation	CodeCode Available
A Bayesian Model for Bivariate Causal Inference	Dec 24, 2018	BenchmarkingCausal Inference	—Unverified
Whittemore: An embedded domain specific language for causal programming	Dec 21, 2018	Causal Inference	CodeCode Available
Balanced Linear Contextual Bandits	Dec 15, 2018	Causal InferenceMulti-Armed Bandits	—Unverified
What is the Effect of Importance Weighting in Deep Learning?	Dec 8, 2018	Causal InferenceDeep Learning	CodeCode Available
Identifying the Effect of Persuasion	Dec 6, 2018	Causal Inference	CodeCode Available
Explainable Genetic Inheritance Pattern Prediction	Dec 1, 2018	Causal InferencePrediction	—Unverified
Identification and Estimation of Causal Effects from Dependent Data	Dec 1, 2018	ArticlesCausal Inference	—Unverified
Representation Learning for Treatment Effect Estimation from Observational Data	Dec 1, 2018	Causal InferenceRepresentation Learning	CodeCode Available
Estimating Causal Effects With Partial Covariates For Clinical Interpretability	Nov 26, 2018	Causal Inference	—Unverified
Causal Inference by String Diagram Surgery	Nov 20, 2018	Causal Inference	—Unverified
MALTS: Matching After Learning to Stretch	Nov 18, 2018	Causal Inference	—Unverified
Explaining Deep Learning Models using Causal Inference	Nov 11, 2018	Causal Inferencecounterfactual	—Unverified
Connecting the Dots: Identifying Network Structure via Graph Signal Processing	Oct 31, 2018	Causal Inferencegraph construction	—Unverified
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality	Oct 29, 2018	Causal InferenceRelation	—Unverified
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach	Oct 28, 2018	Causal InferenceModel Selection	—Unverified
Removing Hidden Confounding by Experimental Grounding	Oct 27, 2018	Causal Inference	—Unverified
Adversarial Balancing for Causal Inference	Oct 17, 2018	Causal Inference	CodeCode Available
Contextual Multi-Armed Bandits for Causal Marketing	Oct 2, 2018	Causal Inferencecounterfactual	—Unverified
Challenges of Using Text Classifiers for Causal Inference	Oct 1, 2018	Causal InferenceDecision Making	CodeCode Available
Early Identification of Pathogenic Social Media Accounts	Sep 25, 2018	Causal InferenceCommunity Detection	—Unverified

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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