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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 41–50 of 1722 papers

Title	Date	Tasks	Status	Hype
Learning Divergence Fields for Shift-Robust Graph Representations	Jun 7, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty	May 30, 2024	Causal DiscoveryCausal Inference	CodeCode Available	1
A Brief Introduction to Causal Inference in Machine Learning	May 14, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1
Disentangling ID and Modality Effects for Session-based Recommendation	Apr 19, 2024	Causal Inferencecounterfactual	CodeCode Available	1
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology	Apr 17, 2024	Causal DiscoveryCausal Inference	CodeCode Available	1
C-XGBoost: A tree boosting model for causal effect estimation	Mar 31, 2024	Causal InferenceMissing Values	CodeCode Available	1
Semi-Supervised Learning for Deep Causal Generative Models	Mar 27, 2024	Causal Inferencecounterfactual	CodeCode Available	1
CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning	Mar 1, 2024	Causal InferenceRecommendation Systems	CodeCode Available	1
Language Models Represent Beliefs of Self and Others	Feb 28, 2024	Causal Inference	CodeCode Available	1
Graph Out-of-Distribution Generalization via Causal Intervention	Feb 18, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1

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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