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Inter-domain Deep Gaussian Processes

Inter-domain Deep Gaussian Processes

1 November 2020
Tim G. J. Rudner
Dino Sejdinovic
Yarin Gal
ArXivPDFHTML

Papers citing "Inter-domain Deep Gaussian Processes"

4 / 4 papers shown
Title
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Xinxing Shi
Thomas Baldwin-McDonald
Mauricio A. Álvarez
79
0
0
01 Jul 2024
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
Chi-Ken Lu
Patrick Shafto
BDL
27
4
0
01 Oct 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
31
124
0
14 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1