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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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1425 of 1722 papers

TitleStatusHype
Causal Inference by String Diagram Surgery—0
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions—0
Causal Inference (C-inf) -- closed form worst case typical phase transitions—0
Causal Inference for Banking Finance and Insurance A Survey—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Causal Inference for Early Detection of Pathogenic Social Media Accounts—0
Causal Inference for Event Pairs in Multivariate Point Processes—0
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis—0
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes—0
Causal Inference for Recommendation: Foundations, Methods and Applications—0
Causal Inference for Survival Analysis—0
Causal inference for the expected number of recurrent events in the presence of a terminal event—0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation—0
Causal Inference from Slowly Varying Nonstationary Processes—0
Causal Inference from Small High-dimensional Datasets—0
Causal Inference in Disease Spread across a Heterogeneous Social System—0
Causal inference in drug discovery and development—0
Causal Inference in Educational Systems: A Graphical Modeling Approach—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems—0
Causal Inference in Geoscience and Remote Sensing from Observational Data—0
Causal Inference in Geosciences with Kernel Sensitivity Maps—0
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond—0
Causal Inference in Network Economics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified