LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
arXiv 2602.22432•a5a8283aa613148ac5cdd8e7b1c007690337151376c02a4e1e66529b80d29639
LLM-optimizationadversarial-resiliencebayesian-inferencecatastrophic-forgettingconformal-predictioncontinual-learningdata-leakagedecentralized-systemsdeepfakesdifferential-privacydiffusion-modelsflow-matchinggaussian-processesgenerative-modelsgossip-protocolsmachine-learningmodel-poisoningpairwise-preferencesprivacy-enhancementpublic-datareward-free-optimizationrobustnesssamplingsecurity-implicationsuncertainty-quantification
Paper metadata
- arXiv ID
- 2602.22432
- 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
- a5a8283aa613148ac5cdd8e7b1c007690337151376c02a4e1e66529b80d29639
- Enrichment time
- 2026-03-04T20:00:42Z
- AI-assisted enrichment
- Yes
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