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GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation

GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation

13 January 2014
Edward Meeds
Max Welling
ArXiv (abs)PDFHTML

Papers citing "GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation"

17 / 67 papers shown
Title
Automatic Variational ABC
Automatic Variational ABC
Alexander Moreno
T. Adel
Edward Meeds
James M. Rehg
Max Welling
171
12
0
28 Jun 2016
Fast $ε$-free Inference of Simulation Models with Bayesian
  Conditional Density Estimation
Fast εεε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
200
158
0
20 May 2016
ABC for climate: dealing with expensive simulators
ABC for climate: dealing with expensive simulators
P. Holden
N. Edwards
J. Hensman
Richard D. Wilkinson
41
35
0
11 Nov 2015
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods
Chris Sherlock
Andrew Golightly
D. Henderson
122
55
0
01 Sep 2015
Bayesian optimisation for fast approximate inference in state-space
  models with intractable likelihoods
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
J. Dahlin
M. Villani
Thomas B. Schon
65
6
0
23 Jun 2015
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with
  Random Bases
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
121
32
0
18 Jun 2015
A Parzen-based distance between probability measures as an alternative
  of summary statistics in Approximate Bayesian Computation
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation
C. Zuluaga
Edgar A. Valencia
Mauricio A. Alvarez
34
5
0
30 Mar 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden
  Potts Model
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model
M. Moores
Geoff K. Nicholls
A. Pettitt
Kerrie Mengersen
TPM
178
22
0
27 Mar 2015
Hamiltonian ABC
Hamiltonian ABC
Edward Meeds
R. Leenders
Max Welling
BDL
195
31
0
06 Mar 2015
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
Mijung Park
Wittawat Jitkrittum
Dino Sejdinovic
90
10
0
09 Feb 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based
  Statistical Models
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann
J. Corander
230
288
0
14 Jan 2015
Fast and optimal nonparametric sequential design for astronomical
  observations
Fast and optimal nonparametric sequential design for astronomical observations
Justin Yang
Xufei Wang
P. Protopapas
L. Bornn
23
3
0
11 Jan 2015
A comparison of emulation methods for Approximate Bayesian Computation
A comparison of emulation methods for Approximate Bayesian Computation
F. Jabot
Guillaume Lagarrigues
B. Courbaud
Nicolas Dumoulin
71
11
0
16 Dec 2014
GP-select: Accelerating EM using adaptive subspace preselection
GP-select: Accelerating EM using adaptive subspace preselection
Jacquelyn A. Shelton
Jan Gasthaus
Zhenwen Dai
Jörg Lücke
Arthur Gretton
67
18
0
10 Dec 2014
POPE: Post Optimization Posterior Evaluation of Likelihood Free Models
POPE: Post Optimization Posterior Evaluation of Likelihood Free Models
Edward Meeds
Michael Chiang
Mary Lee
Olivier Cinquin
John S. Lowengrub
Max Welling
45
0
0
09 Dec 2014
Lazy ABC
Lazy ABC
D. Prangle
121
44
0
30 May 2014
Exploiting the Statistics of Learning and Inference
Exploiting the Statistics of Learning and Inference
Max Welling
63
5
0
26 Feb 2014
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