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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “SGLD-Gibbs”

Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlocs.LG

New method improves uncertainty quantification in latent variable models.

problem Uncertainty quantification in latent variable models with SGLD-Gibbs.

method Statistical scaling limit theory for SGLD-Gibbs, proposing hyperparameter tuning.

result Explicit guidance on hyperparameter tuning for SGLD-Gibbs ensures meaningful uncertainty quantification.

uncertainty quantification latent variable models SGLD-Gibbs statistical scaling hyperparameter tuning

2026-05-29abs ↗pdf ↗