On Kernel Eigen-alignments of KRR: Reconstruction and Generalization
arXiv 2605.15240•f2e6d1eeee4ee17f5b1c60c8953240019bc3ea2bdf2a273a7dac93d47289ad31
Lipschitz risk functionalsMaxSketchTCAValgorithmic contestability and recourse methods','neural networkconcept activation vectorscontextual banditscovariance queriesdistinct countingdomain shift detectioneigenalignmentexplainabilityfinite-sample analysisgeneralization boundsgraphical modelskernel ridge regressionoffline contextual banditsoracle price maprandom projectionsregret boundsrepresentation learningrisk-aware policy learningsemiparametric pricingstreaming algorithmssubspace attributionα-TCAV
Paper metadata
- arXiv ID
- 2605.15240
- 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
- f2e6d1eeee4ee17f5b1c60c8953240019bc3ea2bdf2a273a7dac93d47289ad31
- Enrichment time
- 2026-05-18T07:23:54Z
- AI-assisted enrichment
- Yes
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