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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 1441–1450 of 1722 papers

Title	Date	Tasks	Status	Hype
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits	Dec 1, 2019	Causal InferenceModel Selection	CodeCode Available	0
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework	Nov 26, 2019	Causal Inferenceregression	—Unverified	0
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations	Nov 25, 2019	Causal Inferencecoreference-resolution	CodeCode Available	0
Causality for Machine Learning	Nov 24, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Causally Denoise Word Embeddings Using Half-Sibling Regression	Nov 24, 2019	Causal Inferenceregression	CodeCode Available	0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective	Nov 24, 2019	Causal InferenceFairness	—Unverified	0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series	Nov 16, 2019	Anomaly DetectionCausal Inference	—Unverified	0
Causal Inference Under Approximate Neighborhood Interference	Nov 16, 2019	Causal Inference	—Unverified	0
Bayesian nonparametric discontinuity design	Nov 15, 2019	Causal InferenceExperimental Design	CodeCode Available	0
Selective machine learning of doubly robust functionals	Nov 5, 2019	BIG-bench Machine LearningCausal Inference	—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