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Safe Active Learning for Multi-Output Gaussian Processes

Safe Active Learning for Multi-Output Gaussian Processes

28 March 2022
Cen-You Li
Barbara Rakitsch
Christoph Zimmer
    UQCV
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Papers citing "Safe Active Learning for Multi-Output Gaussian Processes"

12 / 12 papers shown
Title
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Cen-You Li
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
OffRL
155
0
0
26 Jan 2025
Vector Optimization with Gaussian Process Bandits
Vector Optimization with Gaussian Process Bandits
İlter Onat Korkmaz
Yaşar Cahit Yıldırım
Çağın Ararat
Cem Tekin
76
0
0
03 Dec 2024
Reciprocal Learning
Reciprocal Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
37
0
0
12 Aug 2024
Batch Active Learning in Gaussian Process Regression using Derivatives
Batch Active Learning in Gaussian Process Regression using Derivatives
Hon Sum Alec Yu
Christoph Zimmer
D. Nguyen-Tuong
GP
28
1
0
03 Aug 2024
Amortized Active Learning for Nonparametric Functions
Amortized Active Learning for Nonparametric Functions
Cen-You Li
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
25
0
0
25 Jul 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes
Markus Lange-Hegermann
Christoph Zimmer
AI4TS
47
0
0
17 May 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active
  Learning
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
Jörn Tebbe
Christoph Zimmer
A. Steland
Markus Lange-Hegermann
Fabian Mies
GP
23
3
0
28 Feb 2024
Information-Theoretic Safe Bayesian Optimization
Information-Theoretic Safe Bayesian Optimization
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
35
1
0
23 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
52
2
0
22 Feb 2024
Amortized Inference for Gaussian Process Hyperparameters of Structured
  Kernels
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
M. Bitzer
Mona Meister
Christoph Zimmer
16
9
0
16 Jun 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process
  Models of Nonstationary Systems
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
M. Bitzer
Mona Meister
Christoph Zimmer
23
4
0
17 Mar 2023
A Framework for Interdomain and Multioutput Gaussian Processes
A Framework for Interdomain and Multioutput Gaussian Processes
Mark van der Wilk
Vincent Dutordoir
S. T. John
A. Artemev
Vincent Adam
J. Hensman
40
94
0
02 Mar 2020
1