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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 1701–1710 of 1722 papers

Title	Date	Tasks	Status	Hype
Justifying Information-Geometric Causal Inference	Feb 11, 2014	Causal Inference	—Unverified	0
Consistency of Causal Inference under the Additive Noise Model	Dec 19, 2013	Causal Inference	—Unverified	0
Causal Inference on Time Series using Restricted Structural Equation Models	Dec 1, 2013	Causal InferenceTime Series	—Unverified	0
Program Evaluation and Causal Inference with High-Dimensional Data	Nov 11, 2013	Causal Inferencevalid	—Unverified	0
Feedback Detection for Live Predictors	Oct 10, 2013	Causal Inference	—Unverified	0
Sparse Nested Markov models with Log-linear Parameters	Sep 26, 2013	Causal Inference	—Unverified	0
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders	Sep 26, 2013	Causal Inference	—Unverified	0
Structural Intervention Distance (SID) for Evaluating Causal Graphs	Jun 5, 2013	Causal Inference	CodeCode Available	0
On the definition of a confounder	Apr 2, 2013	Causal Inferencecounterfactual	—Unverified	0
Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions	Dec 1, 2012	Causal 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