Theoretical and Practical Advances in Hierarchical Bayesian Deep Learning Methodology
arXiv:2610.19074v1 Announce Type: new Abstract: Reliable uncertainty quantification remains an important challenge in AI. Hierarchical Bayesian methods provide a principled framework for this by representing unknown quantities through posterior distributions. Joint inference of neural-network param…
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- 2026-10-15 04:00 · arXiv cs.LG
Theoretical and Practical Advances in Hierarchical Bayesian Deep Learning Methodology