pith. sign in

Prior: mixturep(w) = 0.5N(0,2.0 2) + 0.5N(0, e−6)

Full-Rank BNN (Bayes by Backprop):All weights have diagonal Gaussian posteriors q(w) =N(µ w, σ2 w)

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

fields

stat.ML 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Singular Bayesian Neural Networks

stat.ML · 2026-01-30 · unverdicted · novelty 7.0

Low-rank weight factorization creates singular posteriors in Bayesian neural networks that scale as sqrt(r(m+n)) in complexity and use up to 33x fewer parameters than ensembles.

citing papers explorer

Showing 1 of 1 citing paper.

  • Singular Bayesian Neural Networks stat.ML · 2026-01-30 · unverdicted · none · ref 24

    Low-rank weight factorization creates singular posteriors in Bayesian neural networks that scale as sqrt(r(m+n)) in complexity and use up to 33x fewer parameters than ensembles.