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Probabilistic selection of inducing points in sparse Gaussian processes
v1v2v3v4 (latest)

Probabilistic selection of inducing points in sparse Gaussian processes

19 October 2020
Anders Kirk Uhrenholt
V. Charvet
B. S. Jensen
ArXiv (abs)PDFHTML

Papers citing "Probabilistic selection of inducing points in sparse Gaussian processes"

6 / 6 papers shown
Title
A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
Yehu Chen
Jacob Montgomery
Roman Garnett
41
0
0
03 Apr 2025
Amortized Variational Inference for Deep Gaussian Processes
Amortized Variational Inference for Deep Gaussian Processes
Qiuxian Meng
Yongyou Zhang
30
0
0
18 Sep 2024
Towards Gaussian Process for operator learning: an uncertainty aware
  resolution independent operator learning algorithm for computational
  mechanics
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
Sawan Kumar
R. Nayek
Souvik Chakraborty
100
4
0
17 Sep 2024
Review of Recent Advances in Gaussian Process Regression Methods
Review of Recent Advances in Gaussian Process Regression Methods
Chenyi Lyu
Xingchi Liu
Lyudmila Mihaylova
GP
52
3
0
12 Sep 2024
Inducing Gaussian Process Networks
Inducing Gaussian Process Networks
Alessandro Tibo
Thomas D. Nielsen
BDL
21
1
0
21 Apr 2022
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal
  approach
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
Karla Monterrubio-Gómez
S. Wade
47
2
0
04 Mar 2021
1