When Kernel Ridge Regression Meets the H\"older-Zygmund Class: Minimax Optimality and Failure of Properness
arXiv 2607.26065•baf511e2a719adee6c9d2e2f87bb044ef51d294d6a608660879754dbc5f71686
LLM agentsadaptive sensinganomaly detectionarXivdiffusion modelsdomain generalizationforecastingkernel methodsmachine learning researchphysics-informed learningreinforcement learningstatistical machine learning
Paper metadata
- arXiv ID
- 2607.26065
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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- Source ID
- arxiv_stat_ml
- Record identifier
- baf511e2a719adee6c9d2e2f87bb044ef51d294d6a608660879754dbc5f71686
- Enrichment time
- 2026-07-30T07:23:49Z
- AI-assisted enrichment
- Yes
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