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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 181–190 of 1722 papers

Title	Date	Tasks	Status	Hype
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding	Mar 3, 2020	Causal InferenceSensitivity	CodeCode Available	1
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis	Feb 1, 2020	Causal InferenceDynamic Time Warping	CodeCode Available	1
Variable-lag Granger Causality for Time Series Analysis	Dec 18, 2019	Causal InferenceLeadership Inference	CodeCode Available	1
Masked Gradient-Based Causal Structure Learning	Oct 18, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Estimating Transfer Entropy via Copula Entropy	Oct 10, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Adapting Text Embeddings for Causal Inference	May 29, 2019	Causal IdentificationCausal Inference	CodeCode Available	1
Using Embeddings to Correct for Unobserved Confounding in Networks	Feb 11, 2019	Causal Inferencevalid	CodeCode Available	1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias	May 5, 2018	Causal DiscoveryCausal Inference	CodeCode Available	1
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
Double/Debiased Machine Learning for Treatment and Causal Parameters	Jul 30, 2016	BIG-bench Machine LearningCausal Inference	CodeCode Available	1

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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