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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
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Title
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
92
82
0
08 Jan 2025
Stopping Bayesian Optimization with Probabilistic Regret Bounds
Stopping Bayesian Optimization with Probabilistic Regret Bounds
James T. Wilson
65
4
0
26 Feb 2024
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
114
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
66
0
0
18 Feb 2024
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and
  Epistemic Uncertainty
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
T. Faulwasser
O. Molodchyk
109
1
0
12 Dec 2023
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty
Futoshi Futami
Tomoharu Iwata
UDPER
55
3
0
23 Jul 2023
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
72
6
0
14 Oct 2022
Excess risk analysis for epistemic uncertainty with application to
  variational inference
Excess risk analysis for epistemic uncertainty with application to variational inference
Futoshi Futami
Tomoharu Iwata
N. Ueda
Issei Sato
Masashi Sugiyama
UQCV
105
1
0
02 Jun 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
49
3
0
23 Feb 2022
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and
  Neural Control Contraction Metric
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
Dawei Sun
M. J. Khojasteh
S. Shekhar
Chuchu Fan
62
2
0
13 May 2021
The Shape of Learning Curves: a Review
The Shape of Learning Curves: a Review
T. Viering
Marco Loog
80
135
0
19 Mar 2021
Control Barriers in Bayesian Learning of System Dynamics
Control Barriers in Bayesian Learning of System Dynamics
Vikas Dhiman
M. J. Khojasteh
M. Franceschetti
Nikolay Atanasov
117
67
0
29 Dec 2020
The Impact of Data on the Stability of Learning-Based Control- Extended
  Version
The Impact of Data on the Stability of Learning-Based Control- Extended Version
Armin Lederer
A. Capone
Thomas Beckers
Jonas Umlauft
Sandra Hirche
76
10
0
20 Nov 2020
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
62
18
0
25 May 2020
Uniform Error Bounds for Gaussian Process Regression with Application to
  Safe Control
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer
Jonas Umlauft
Sandra Hirche
92
155
0
04 Jun 2019
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