Adaptive Norm-Based Regularization for Neural Networks
arXiv 2605.00171•cd1ae8d8a0c05461636bc3608c23c1ba8b334fb9967fd017b19544fb963d14f0
Fisher-RaoGBDTNewton-boostingadaptive-samplingadjoint-methodsarxivdiffusion-modelsdose-responsedouble-machine-learningextreme-value-theoryflow-modelsglobal-convergence','adaptive-querying','persona-models','user-8gradient-boostinggraph-diffusioninformation-geometrylassomachine-learningregularizationreward-fine-tuningridgerobust-statisticsscore-matchingshift-estimatorsparsitystable-diffusion
Paper metadata
- arXiv ID
- 2605.00171
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- cd1ae8d8a0c05461636bc3608c23c1ba8b334fb9967fd017b19544fb963d14f0
- Enrichment time
- 2026-05-04T07:24:03Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.