Learning Nonlinear Factor Models with Unknown Monotone Links from Incomplete and Noisy Data
arXiv 2605.26271•06c8c05cb38b9b4f0327d69340eb89b4d2fb2e897d3284d78a65f977edfeac7e
arxivbayesian-methodscausal-inferencedifferential-privacydp-sgdexperimental-designgaussian-processidentifiabilitymachine-learningmcmcnonlinear-factor-modelsrandom-forestsrecommender-systemsrepresentation-learningstatistical-learningtheorytransformers
Paper metadata
- arXiv ID
- 2605.26271
- 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
- 06c8c05cb38b9b4f0327d69340eb89b4d2fb2e897d3284d78a65f977edfeac7e
- Enrichment time
- 2026-05-27T07:24:01Z
- AI-assisted enrichment
- Yes
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