Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1801.05242
Cited By
v1
v2
v3 (latest)
A Bayesian Conjugate Gradient Method
16 January 2018
Jon Cockayne
Chris J. Oates
Ilse C. F. Ipsen
Mark Girolami
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A Bayesian Conjugate Gradient Method"
9 / 9 papers shown
Title
Uncertainty calibration for probabilistic projection methods
V. Fanaskov
68
3
0
08 Feb 2024
Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger
Geoff Pleiss
Marvin Pfortner
Philipp Hennig
John P. Cunningham
143
20
0
30 May 2022
ProbNum: Probabilistic Numerics in Python
Jonathan Wenger
Nicholas Kramer
Marvin Pfortner
Jonathan Schmidt
Nathanael Bosch
...
A. Gessner
Toni Karvonen
F. Briol
Maren Mahsereci
Philipp Hennig
109
17
0
03 Dec 2021
High-Dimensional Gaussian Process Inference with Derivatives
Filip de Roos
A. Gessner
Philipp Hennig
GP
66
17
0
15 Feb 2021
All You Need is a Good Functional Prior for Bayesian Deep Learning
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Maurizio Filippone
OOD
BDL
73
61
0
25 Nov 2020
Probabilistic Linear Solvers for Machine Learning
Jonathan Wenger
Philipp Hennig
98
17
0
19 Oct 2020
A Modern Retrospective on Probabilistic Numerics
Chris J. Oates
T. Sullivan
AI4CE
101
64
0
14 Jan 2019
Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in "large
n
n
n
& large
p
p
p
" Bayesian sparse regression
A. Nishimura
M. Suchard
44
20
0
29 Oct 2018
Probabilistic Linear Solvers: A Unifying View
Simon Bartels
Jon Cockayne
Ilse C. F. Ipsen
Philipp Hennig
83
24
0
08 Oct 2018
1