Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1310.0740
Cited By
v1
v2
v3
v4 (latest)
Pseudo-Marginal Bayesian Inference for Gaussian Processes
2 October 2013
Maurizio Filippone
Mark Girolami
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Pseudo-Marginal Bayesian Inference for Gaussian Processes"
29 / 29 papers shown
Title
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
V. Lalchand
W. Bruinsma
David R. Burt
C. Rasmussen
GP
28
6
0
04 Nov 2022
Validating Gaussian Process Models with Simulation-Based Calibration
John Mcleod
F. Simpson
56
3
0
27 Oct 2021
Low-rank statistical finite elements for scalable model-data synthesis
Connor Duffin
E. Cripps
T. Stemler
Mark Girolami
66
11
0
10 Sep 2021
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
Karla Monterrubio-Gómez
S. Wade
47
2
0
04 Mar 2021
Marginalised Gaussian Processes with Nested Sampling
F. Simpson
V. Lalchand
C. Rasmussen
GP
114
10
0
30 Oct 2020
Scalable Approximate Inference and Some Applications
Jun Han
BDL
52
1
0
07 Mar 2020
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi
Markus Heinonen
Edwin V. Bonilla
Zheyan Shen
Maurizio Filippone
UQCV
BDL
42
0
0
06 Mar 2020
Max-and-Smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models
B. Hrafnkelsson
S. Siegert
Raphael Huser
H. Bakka
Árni V. Jóhannesson
63
18
0
27 Jul 2019
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Daniel Zilber
Matthias Katzfuss
84
34
0
18 Jun 2019
Stein Variational Gradient Descent Without Gradient
J. Han
Qiang Liu
92
45
0
07 Jun 2018
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models
Charles W. L. Gadd
S. Wade
A. Shah
D. Grammatopoulos
BDL
GP
22
3
0
28 Mar 2018
A determinant-free method to simulate the parameters of large Gaussian fields
L. Ellam
Heiko Strathmann
Mark Girolami
Iain Murray
88
3
0
11 Sep 2017
Efficient and principled score estimation with Nyström kernel exponential families
Danica J. Sutherland
Heiko Strathmann
Michael Arbel
Arthur Gretton
83
24
0
23 May 2017
Hyperpriors for Matérn fields with applications in Bayesian inversion
L. Roininen
Mark Girolami
Sari Lasanen
M. Markkanen
78
57
0
09 Dec 2016
Inference for log Gaussian Cox processes using an approximate marginal posterior
Shinichiro Shirota
A. Gelfand
51
7
0
30 Nov 2016
Pseudo-marginal Metropolis--Hastings using averages of unbiased estimators
Chris Sherlock
Alexandre Hoang Thiery
Anthony Lee
58
5
0
31 Oct 2016
Approximate Marginal Posterior for Log Gaussian Cox Processes
Shinichiro Shirota
A. Gelfand
23
2
0
26 Jun 2016
Pseudo-Marginal Slice Sampling
Iain Murray
Matthew M. Graham
101
37
0
10 Oct 2015
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations
Anastasis Georgoulas
J. Hillston
G. Sanguinetti
75
39
0
28 Sep 2015
Adaptive Multiple Importance Sampling for Gaussian Processes
Xiaoyu Xiong
Václav Smídl
Maurizio Filippone
47
6
0
05 Aug 2015
Efficiency of delayed-acceptance random walk Metropolis algorithms
Chris Sherlock
Alexandre Hoang Thiery
Andrew Golightly
77
16
0
26 Jun 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann
Dino Sejdinovic
Samuel Livingstone
Z. Szabó
Arthur Gretton
BDL
100
76
0
08 Jun 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
Maurizio Filippone
Raphael Engler
116
31
0
22 Jan 2015
Control Functionals for Quasi-Monte Carlo Integration
Chris J. Oates
Mark Girolami
174
27
0
14 Jan 2015
Optimal scaling for the pseudo-marginal random walk Metropolis: insensitivity to the noise generating mechanism
Chris Sherlock
OT
86
9
0
19 Aug 2014
Fast matrix computations for functional additive models
Simon Barthelmé
36
3
0
20 Feb 2014
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC
Maurizio Filippone
46
6
0
28 Nov 2013
Analysis of the Gibbs sampler for hierarchical inverse problems
S. Agapiou
Johnathan M. Bardsley
O. Papaspiliopoulos
Andrew M. Stuart
103
60
0
05 Nov 2013
Kernel Adaptive Metropolis-Hastings
Dino Sejdinovic
Heiko Strathmann
M. Garcia
Christophe Andrieu
Arthur Gretton
83
46
0
19 Jul 2013
1