A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
arXiv 2607.19498•c074ff47524ccf4e3fcf9d5393186f4ff5bf55804d1c2c9ee5088b10a29347e8
DKMDLoRARELTA-SGLDStatLoRAannealingappend-only-attacksbayesiancausal-inferencecovariate-shiftdata-poisoningdeep-gaussian-processdistribution-shiftflowsgaussian-processhamiltonian-monte-carlolow-rank-adaptationmachine-learningmodel-fine-tuningmolecular-designpoisoning-auditsde-trainingsghmc-sgldstiefel-manifoldtotal-influencetraining-stability
Paper metadata
- arXiv ID
- 2607.19498
- 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
- c074ff47524ccf4e3fcf9d5393186f4ff5bf55804d1c2c9ee5088b10a29347e8
- Enrichment time
- 2026-07-23T07:24:04Z
- AI-assisted enrichment
- Yes
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