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Posterior and Computational Uncertainty in Gaussian Processes

Posterior and Computational Uncertainty in Gaussian Processes

30 May 2022
Jonathan Wenger
Geoff Pleiss
Marvin Pfortner
Philipp Hennig
John P. Cunningham
ArXivPDFHTML

Papers citing "Posterior and Computational Uncertainty in Gaussian Processes"

6 / 6 papers shown
Title
Randomised Postiterations for Calibrated BayesCG
Randomised Postiterations for Calibrated BayesCG
Niall Vyas
Disha Hegde
Jon Cockayne
28
0
0
05 Apr 2025
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading
Qiushuo Hou
Sangwoo Park
Matteo Zecchin
Yunlong Cai
G. Yu
Osvaldo Simeone
64
0
0
18 Mar 2025
Computation-Aware Kalman Filtering and Smoothing
Computation-Aware Kalman Filtering and Smoothing
Marvin Pfortner
Jonathan Wenger
Jon Cockayne
Philipp Hennig
86
3
0
13 Mar 2025
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation
Chris Camaño
Daniel Huang
BDL
GP
36
1
0
28 Oct 2024
Calibrated Computation-Aware Gaussian Processes
Calibrated Computation-Aware Gaussian Processes
Disha Hegde
Mohamed Adil
Jon Cockayne
21
4
0
11 Oct 2024
Uniform approximation of common Gaussian process kernels using
  equispaced Fourier grids
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids
A. Barnett
P. Greengard
M. Rachh
20
7
0
18 May 2023
1