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Conditional Deep Gaussian Processes: multi-fidelity kernel learning

Conditional Deep Gaussian Processes: multi-fidelity kernel learning

7 February 2020
Chi-Ken Lu
Patrick Shafto
ArXivPDFHTML

Papers citing "Conditional Deep Gaussian Processes: multi-fidelity kernel learning"

3 / 3 papers shown
Title
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
1