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Preconditioning for Scalable Gaussian Process Hyperparameter
  Optimization
v1v2v3v4v5 (latest)

Preconditioning for Scalable Gaussian Process Hyperparameter Optimization

1 July 2021
Jonathan Wenger
Geoff Pleiss
Philipp Hennig
John P. Cunningham
Jacob R. Gardner
ArXiv (abs)PDFHTML

Papers citing "Preconditioning for Scalable Gaussian Process Hyperparameter Optimization"

5 / 5 papers shown
Title
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
Jonathan Wenger
Kaiwen Wu
Philipp Hennig
Jacob R. Gardner
Geoff Pleiss
John P. Cunningham
86
7
0
01 Nov 2024
Calibrated Computation-Aware Gaussian Processes
Calibrated Computation-Aware Gaussian Processes
Disha Hegde
Mohamed Adil
Jon Cockayne
84
5
0
11 Oct 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz
  Preconditioner
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Haoyuan Chen
Rui Tuo
69
0
0
01 Aug 2024
Implicit Manifold Gaussian Process Regression
Implicit Manifold Gaussian Process Regression
Bernardo Fichera
Viacheslav Borovitskiy
Andreas Krause
A. Billard
50
4
0
30 Oct 2023
Posterior and Computational Uncertainty in Gaussian Processes
Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger
Geoff Pleiss
Marvin Pfortner
Philipp Hennig
John P. Cunningham
145
20
0
30 May 2022
1