SCOPE-FE: Structured Control of Operator and Pairwise Exploration for Feature Engineering
arXiv 2604.27025•f106dcd39359e23cd4bf58656c21ab31fe581cfd140a96848eeaef434486ccdc
bayesian-x-learnerbernstein-von-misescausal-inferencecross-modal-attributionecgexplainabilityfeature-clusteringfeature-engineeringheavy-tailed-outcomesheterogeneous-treatment-effectshigh-dimensional-similarityilp-matchinglearning-rate-transfermixture-of-expertsnugptonline-bayesian-learningoperator-probingprediction-powered-inferencerecommendation-systemsreliability-scoringrobust-statisticssemi-supervised-inferencesynthesized-search-spacetransformerstree-discretization
Paper metadata
- arXiv ID
- 2604.27025
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- f106dcd39359e23cd4bf58656c21ab31fe581cfd140a96848eeaef434486ccdc
- Enrichment time
- 2026-05-01T07:23:57Z
- AI-assisted enrichment
- Yes
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