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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 411–420 of 1722 papers

Title	Date	Tasks	Status	Hype
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges	Apr 26, 2024	Causal InferenceDistributed Computing	CodeCode Available	0
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules	Apr 25, 2024	Causal Inference	CodeCode Available	0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis	Apr 24, 2024	Causal InferenceDensity Estimation	—Unverified	0
Disentangling ID and Modality Effects for Session-based Recommendation	Apr 19, 2024	Causal Inferencecounterfactual	CodeCode Available	1
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state	Apr 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology	Apr 17, 2024	Causal DiscoveryCausal Inference	CodeCode Available	1
Vision-and-Language Navigation via Causal Learning	Apr 16, 2024	Causal InferenceContrastive Learning	CodeCode Available	2
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes	Apr 14, 2024	Causal Inference	—Unverified	0
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation	Apr 10, 2024	Causal InferenceState Estimation	CodeCode Available	0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	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