Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
arXiv 2603.29725•2af2072599e062ef5d1ea13f4ce3db1f9ddafdd3fd0d63c14cdbe44e79095545
aircraft-designarxivbayesian-optimizationbregman-divergenceconcept-alignmentcovariate-shiftcross-validationdensity-ratioimportance-weightinginstrumental-variablesinterpretabilityl1-nmfmachine-learningmlr3mbomulti-fidelitynonnegative-matrix-factorizationoaxaca-blinderpenalized-gmmpositive-definite-matricesspatial-predictionstatisticstarget-weighted-cvtransfer-learning
Paper metadata
- arXiv ID
- 2603.29725
- 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
- 2af2072599e062ef5d1ea13f4ce3db1f9ddafdd3fd0d63c14cdbe44e79095545
- Enrichment time
- 2026-04-01T07:23:56Z
- AI-assisted enrichment
- Yes
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