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Posterior contraction rates for constrained deep Gaussian processes in
  density estimation and classication

Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication

14 December 2021
François Bachoc
A. Lagnoux
ArXivPDFHTML

Papers citing "Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication"

5 / 5 papers shown
Title
Contraction rates and projection subspace estimation with Gaussian
  process priors in high dimension
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Elie Odin
François Bachoc
A. Lagnoux
36
0
0
06 Mar 2024
Deep Horseshoe Gaussian Processes
Deep Horseshoe Gaussian Processes
Ismael Castillo
Thibault Randrianarisoa
BDL
UQCV
49
5
0
04 Mar 2024
Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse
  Problems
Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse Problems
Kweku Abraham
Neil Deo
25
5
0
21 Dec 2023
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
S. Petit
Julien Bect
E. Vázquez
49
1
0
07 Jun 2022
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
53
12
0
16 May 2022
1