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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 1671–1680 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal and anti-causal learning in pattern recognition for neuroimaging	Dec 15, 2015	Causal Inference	—Unverified	0
MERLiN: Mixture Effect Recovery in Linear Networks	Dec 3, 2015	Causal InferenceEEG	CodeCode Available	0
Emoticons vs. Emojis on Twitter: A Causal Inference Approach	Oct 28, 2015	Causal Inference	—Unverified	0
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping	Sep 16, 2015	Causal Inference	—Unverified	0
Markov Boundary Discovery with Ridge Regularized Linear Models	Sep 14, 2015	Causal InferenceDimensionality Reduction	—Unverified	0
Sampling-based Causal Inference in Cue Combination and its Neural Implementation	Sep 3, 2015	Causal Inference	—Unverified	0
Real-time Top-K Predictive Query Processing over Event Streams	Aug 26, 2015	Causal Inference	—Unverified	0
Causal Decision Trees	Aug 16, 2015	Causal DiscoveryCausal Inference	—Unverified	0
Learning from Pairwise Marginal Independencies	Aug 2, 2015	Causal Inference	—Unverified	0
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables	Jun 12, 2015	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