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Posterior Variance Analysis of Gaussian Processes with Application to
  Average Learning Curves

Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves

4 June 2019
Armin Lederer
Jonas Umlauft
Sandra Hirche
ArXivPDFHTML

Papers citing "Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves"

6 / 6 papers shown
Title
Global Safe Sequential Learning via Efficient Knowledge Transfer
Global Safe Sequential Learning via Efficient Knowledge Transfer
Cen-You Li
Olaf Duennbier
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
52
2
0
22 Feb 2024
OptEx: Expediting First-Order Optimization with Approximately
  Parallelized Iterations
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
Yao Shu
Jiongfeng Fang
Y. He
Fei Richard Yu
40
0
0
18 Feb 2024
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian
  Processes
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson
Christopher van der Heide
Fred Roosta
Michael W. Mahoney
UQCV
29
5
0
14 Oct 2022
Networked Online Learning for Control of Safety-Critical
  Resource-Constrained Systems based on Gaussian Processes
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes
Armin Lederer
Mingmin Zhang
Samuel Tesfazgi
Sandra Hirche
24
3
0
23 Feb 2022
The Shape of Learning Curves: a Review
The Shape of Learning Curves: a Review
T. Viering
Marco Loog
25
125
0
19 Mar 2021
How Training Data Impacts Performance in Learning-based Control
How Training Data Impacts Performance in Learning-based Control
Armin Lederer
A. Capone
Jonas Umlauft
Sandra Hirche
33
17
0
25 May 2020
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