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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 1161–1170 of 1722 papers

Title	Date	Tasks	Status	Hype
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy	Jul 8, 2021	Causal Inference	—Unverified	0
Causal affect prediction model using a facial image sequence	Jul 8, 2021	Causal InferenceFacial Expression Recognition	CodeCode Available	0
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation	Jul 6, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy	Jul 6, 2021	Causal InferenceMatrix Completion	—Unverified	0
Spatiotemporal information conversion machine for time-series prediction	Jul 3, 2021	Causal InferencePrediction	CodeCode Available	1
The Causal-Neural Connection: Expressiveness, Learnability, and Inference	Jul 2, 2021	Causal IdentificationCausal Inference	CodeCode Available	1
Causal Reinforcement Learning using Observational and Interventional Data	Jun 28, 2021	Causal InferenceModel-based Reinforcement Learning	CodeCode Available	1
DROID: Driver-centric Risk Object Identification	Jun 24, 2021	Causal InferenceObject	—Unverified	0
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge	Jun 22, 2021	Causal InferenceRepresentation Learning	CodeCode Available	0
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items	Jun 21, 2021	Causal InferenceImputation	—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