Adaptive sparse variational approximations for Gaussian process regression

Documenti analoghi

• Contraction rates for sparse variational approximations in Gaussian process regression
  di: Nieman, Dennis, et al.
  Pubblicazione: (2021)
• Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression
  di: Stankewitz, Bernhard, et al.
  Pubblicazione: (2024)
• A non-asymptotic distributional theory of approximate message passing for sparse and robust regression
  di: Li, Gen, et al.
  Pubblicazione: (2024)
• Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance
  di: Mai, The Tien
  Pubblicazione: (2024)
• Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms
  di: Stojnic, Mihailo
  Pubblicazione: (2024)