Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287905047> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4287905047 abstract "We propose a counterfactual approach to train ``causality-aware predictive models that are able to leverage causal information in static anticausal machine learning tasks (i.e., prediction tasks where the outcome influences the features). In applications plagued by confounding, the approach can be used to generate predictions that are free from the influence of observed confounders. In applications involving observed mediators, the approach can be used to generate predictions that only capture the direct or the indirect causal influences. Mechanistically, we train supervised learners on (counterfactually) simulated features which retain only the associations generated by the causal relations of interest. We focus on linear models, where analytical results connecting covariances, causal effects, and prediction mean squared errors are readily available. Quite importantly, we show that our approach does not require knowledge of the full causal graph. It suffices to know which variables represent potential confounders and/or mediators. We discuss the stability of the method with respect to dataset shifts generated by selection biases and validate the approach using synthetic data experiments." @default.
- W4287905047 created "2022-07-26" @default.
- W4287905047 creator A5029959684 @default.
- W4287905047 date "2020-01-12" @default.
- W4287905047 modified "2023-09-23" @default.
- W4287905047 title "Towards causality-aware predictions in static anticausal machine learning tasks: the linear structural causal model case" @default.
- W4287905047 doi "https://doi.org/10.48550/arxiv.2001.03998" @default.
- W4287905047 hasPublicationYear "2020" @default.
- W4287905047 type Work @default.
- W4287905047 citedByCount "0" @default.
- W4287905047 crossrefType "posted-content" @default.
- W4287905047 hasAuthorship W4287905047A5029959684 @default.
- W4287905047 hasBestOaLocation W42879050471 @default.
- W4287905047 hasConcept C105795698 @default.
- W4287905047 hasConcept C108650721 @default.
- W4287905047 hasConcept C11671645 @default.
- W4287905047 hasConcept C119857082 @default.
- W4287905047 hasConcept C121332964 @default.
- W4287905047 hasConcept C132525143 @default.
- W4287905047 hasConcept C144237770 @default.
- W4287905047 hasConcept C148220186 @default.
- W4287905047 hasConcept C149782125 @default.
- W4287905047 hasConcept C153083717 @default.
- W4287905047 hasConcept C154945302 @default.
- W4287905047 hasConcept C15744967 @default.
- W4287905047 hasConcept C158600405 @default.
- W4287905047 hasConcept C163175372 @default.
- W4287905047 hasConcept C163504300 @default.
- W4287905047 hasConcept C33923547 @default.
- W4287905047 hasConcept C41008148 @default.
- W4287905047 hasConcept C41587187 @default.
- W4287905047 hasConcept C62520636 @default.
- W4287905047 hasConcept C64357122 @default.
- W4287905047 hasConcept C77350462 @default.
- W4287905047 hasConcept C77805123 @default.
- W4287905047 hasConcept C80444323 @default.
- W4287905047 hasConceptScore W4287905047C105795698 @default.
- W4287905047 hasConceptScore W4287905047C108650721 @default.
- W4287905047 hasConceptScore W4287905047C11671645 @default.
- W4287905047 hasConceptScore W4287905047C119857082 @default.
- W4287905047 hasConceptScore W4287905047C121332964 @default.
- W4287905047 hasConceptScore W4287905047C132525143 @default.
- W4287905047 hasConceptScore W4287905047C144237770 @default.
- W4287905047 hasConceptScore W4287905047C148220186 @default.
- W4287905047 hasConceptScore W4287905047C149782125 @default.
- W4287905047 hasConceptScore W4287905047C153083717 @default.
- W4287905047 hasConceptScore W4287905047C154945302 @default.
- W4287905047 hasConceptScore W4287905047C15744967 @default.
- W4287905047 hasConceptScore W4287905047C158600405 @default.
- W4287905047 hasConceptScore W4287905047C163175372 @default.
- W4287905047 hasConceptScore W4287905047C163504300 @default.
- W4287905047 hasConceptScore W4287905047C33923547 @default.
- W4287905047 hasConceptScore W4287905047C41008148 @default.
- W4287905047 hasConceptScore W4287905047C41587187 @default.
- W4287905047 hasConceptScore W4287905047C62520636 @default.
- W4287905047 hasConceptScore W4287905047C64357122 @default.
- W4287905047 hasConceptScore W4287905047C77350462 @default.
- W4287905047 hasConceptScore W4287905047C77805123 @default.
- W4287905047 hasConceptScore W4287905047C80444323 @default.
- W4287905047 hasLocation W42879050471 @default.
- W4287905047 hasOpenAccess W4287905047 @default.
- W4287905047 hasPrimaryLocation W42879050471 @default.
- W4287905047 hasRelatedWork W1540404579 @default.
- W4287905047 hasRelatedWork W2143891888 @default.
- W4287905047 hasRelatedWork W2416666019 @default.
- W4287905047 hasRelatedWork W2574301230 @default.
- W4287905047 hasRelatedWork W3000666742 @default.
- W4287905047 hasRelatedWork W3133454920 @default.
- W4287905047 hasRelatedWork W3182564431 @default.
- W4287905047 hasRelatedWork W4205813569 @default.
- W4287905047 hasRelatedWork W4287905047 @default.
- W4287905047 hasRelatedWork W4320458277 @default.
- W4287905047 isParatext "false" @default.
- W4287905047 isRetracted "false" @default.
- W4287905047 workType "article" @default.