Statistical learning theory and Occam's razor: Regularization
arXiv 2608.04049•04712cb4fc88ae338fc5c7d0cf3f2d6927407208750b19802a517b4402f3945a
academic-researchconformal-predictiondiffusion-modelsfairnessgenerative-modelsmachine-learningmanifold-learningmulticalibrationoptimal-transportregularizationselective-inferencestatistical-learning-theory
Paper metadata
- arXiv ID
- 2608.04049
- 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
- 04712cb4fc88ae338fc5c7d0cf3f2d6927407208750b19802a517b4402f3945a
- Enrichment time
- 2026-08-06T07:23:49Z
- AI-assisted enrichment
- Yes
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