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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 1281–1290 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference for Time series Analysis: Problems, Methods and Evaluation	Feb 11, 2021	Causal DiscoveryCausal Inference	—Unverified	0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge	Feb 11, 2021	Causal Inferencecounterfactual	—Unverified	0
Estimating a Directed Tree for Extremes	Feb 11, 2021	Causal DiscoveryCausal Inference	—Unverified	0
Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations	Feb 10, 2021	Causal Inference	CodeCode Available	0
Generating Synthetic Text Data to Evaluate Causal Inference Methods	Feb 10, 2021	Causal InferenceText Generation	—Unverified	0
Patterns, predictions, and actions: A story about machine learning	Feb 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference	Feb 8, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Causal versions of Maximum Entropy and Principle of Insufficient Reason	Feb 7, 2021	Causal Inference	—Unverified	0
Integer Programming for Causal Structure Learning in the Presence of Latent Variables	Feb 5, 2021	Causal Inferencevalid	CodeCode Available	0
Feedback in Imitation Learning: The Three Regimes of Covariate Shift	Feb 4, 2021	Causal InferenceDecision Making	—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