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Posterior contraction for deep Gaussian process priors

Posterior contraction for deep Gaussian process priors

16 May 2021
G. Finocchio
Johannes Schmidt-Hieber
ArXivPDFHTML

Papers citing "Posterior contraction for deep Gaussian process priors"

4 / 4 papers shown
Title
Posterior and variational inference for deep neural networks with heavy-tailed weights
Posterior and variational inference for deep neural networks with heavy-tailed weights
Ismael Castillo
Paul Egels
BDL
55
3
0
05 Jun 2024
Deep Horseshoe Gaussian Processes
Deep Horseshoe Gaussian Processes
Ismael Castillo
Thibault Randrianarisoa
BDL
UQCV
29
5
0
04 Mar 2024
On the inability of Gaussian process regression to optimally learn
  compositional functions
On the inability of Gaussian process regression to optimally learn compositional functions
M. Giordano
Kolyan Ray
Johannes Schmidt-Hieber
31
12
0
16 May 2022
Contraction rates for sparse variational approximations in Gaussian
  process regression
Contraction rates for sparse variational approximations in Gaussian process regression
D. Nieman
Botond Szabó
Harry Van Zanten
36
17
0
22 Sep 2021
1