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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 491–500 of 1722 papers

Title	Date	Tasks	Status	Hype
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach	Jan 24, 2024	Causal InferenceDenoising	—Unverified	0
Position: AI/ML Influencers Have a Place in the Academic Process	Jan 24, 2024	Causal InferenceDiversity	—Unverified	0
SLANG: New Concept Comprehension of Large Language Models	Jan 23, 2024	Causal Inference	CodeCode Available	1
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach	Jan 19, 2024	Causal InferenceFairness	—Unverified	0
Deep Learning-based Group Causal Inference in Multivariate Time-series	Jan 16, 2024	Causal InferenceDeep Learning	CodeCode Available	0
Modeling Latent Selection with Structural Causal Models	Jan 12, 2024	Causal InferenceSelection bias	—Unverified	0
Deep Learning With DAGs	Jan 12, 2024	Causal InferenceDeep Learning	—Unverified	0
Valid causal inference with unobserved confounding in high-dimensional settings	Jan 12, 2024	Causal InferenceModel Selection	CodeCode Available	0
Proximal Causal Inference With Text Data	Jan 12, 2024	Causal Inference	CodeCode Available	0
Information Flow Rate for Cross-Correlated Stochastic Processes	Jan 10, 2024	Causal InferenceGaussian Processes	—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