Spectral-Transport Stability and Benign Overfitting in Interpolating Learning
arXiv 2604.08625•bb1ea6e6d499bb34663430373ce286e6b689d44469f9dfbf0bcb42127bec92f1
DAG-learningHMMHalf-Trek-CriterionIterative-Identification-ClosureReLUbenign-overfittingcausal-discoverycausal-inferenceexperiment-designfactorial-experimentsidentifiabilitylearning-to-deferloss-landscapemachine-learningmulti-expert-systemsneural-networksonline-learningpositive-valued-dataquantile-regressionspectral-methodsstatistical-learning-theorystreaming-inferencestructural-equation-modelstensor-completionuncertainty-quantification
Paper metadata
- arXiv ID
- 2604.08625
- 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
- bb1ea6e6d499bb34663430373ce286e6b689d44469f9dfbf0bcb42127bec92f1
- Enrichment time
- 2026-04-13T07:23:57Z
- AI-assisted enrichment
- Yes
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