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 801–825 of 1722 papers

Title	Date	Tasks	Status
Intervention Generalization: A View from Factor Graph Models	Jun 6, 2023	Causal InferenceExperimental Design	—Unverified
Contagion Effect Estimation Using Proximal Embeddings	Jun 4, 2023	Causal InferenceRepresentation Learning	—Unverified
Individual Causal Inference Using Panel Data With Multiple Outcomes	Jun 3, 2023	Causal Inference	—Unverified
Behavioral Causal Inference	May 30, 2023	Causal Inference	—Unverified
Point Cloud Completion Guided by Prior Knowledge via Causal Inference	May 28, 2023	Causal InferenceContrastive Learning	—Unverified
Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence	May 27, 2023	Causal InferenceGraph Neural Network	CodeCode Available
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers	May 26, 2023	Causal Inference	—Unverified
Neuroevolutionary representations for learning heterogeneous treatment effects	May 25, 2023	Causal Inference	CodeCode Available
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation	May 25, 2023	Causal Inferencecounterfactual	CodeCode Available
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance	May 25, 2023	3D Generation3D Reconstruction	—Unverified
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry	May 24, 2023	Causal Inferencecounterfactual	—Unverified
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available
Causality-Aided Trade-off Analysis for Machine Learning Fairness	May 22, 2023	Causal DiscoveryCausal Inference	—Unverified
How Fragile is Relation Extraction under Entity Replacements?	May 22, 2023	BenchmarkingCausal Inference	CodeCode Available
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data	May 22, 2023	Causal InferencePartially Labeled Datasets	—Unverified
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering	May 22, 2023	Causal InferenceCollaborative Filtering	CodeCode Available
Estimation Beyond Data Reweighting: Kernel Method of Moments	May 18, 2023	Causal Inference	CodeCode Available
A Survey on Causal Discovery: Theory and Practice	May 17, 2023	Causal DiscoveryCausal Inference	—Unverified
The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study	May 17, 2023	Causal DiscoveryCausal Inference	—Unverified
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available
The Hardness of Reasoning about Probabilities and Causality	May 16, 2023	Causal Inference	—Unverified
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward	May 15, 2023	Causal InferenceEarth Observation	—Unverified
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials	May 15, 2023	Causal Inference	—Unverified
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation	May 11, 2023	Causal Inference	—Unverified
Reinterpreting causal discovery as the task of predicting unobserved joint statistics	May 11, 2023	Causal DiscoveryCausal Inference	—Unverified

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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