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Orthogonal parallel MCMC methods for sampling and optimization
v1v2 (latest)

Orthogonal parallel MCMC methods for sampling and optimization

30 July 2015
Luca Martino
Victor Elvira
D. Luengo
J. Corander
F. Louzada
ArXiv (abs)PDFHTML

Papers citing "Orthogonal parallel MCMC methods for sampling and optimization"

14 / 14 papers shown
Title
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo
  simulations
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo simulations
Mariya Mamajiwala
D. Roy
S. Guillas
35
0
0
20 Jan 2022
A Survey of Monte Carlo Methods for Parameter Estimation
A Survey of Monte Carlo Methods for Parameter Estimation
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
95
158
0
25 Jul 2021
Emulation as an Accurate Alternative to Interpolation in Sampling
  Radiative Transfer Codes
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes
J. Vicent
J. Verrelst
J. P. Rivera-Caicedo
Neus Sabater
Jordi Munoz-Marí
Gustau Camps-Valls
J. Moreno
24
26
0
07 Dec 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng
Qi Feng
Liyao (Mars) Gao
F. Liang
Guang Lin
BDL
77
47
0
12 Aug 2020
Beyond Application End-Point Results: Quantifying Statistical Robustness
  of MCMC Accelerators
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators
Xinming Zhang
Ramin Bashizade
Yicheng Wang
Cheng Lyu
S. Mukherjee
A. Lebeck
103
5
0
05 Mar 2020
MCMC for a hyperbolic Bayesian inverse problem in traffic flow modelling
MCMC for a hyperbolic Bayesian inverse problem in traffic flow modelling
Jeremie Coullon
Y. Pokern
77
1
0
07 Jan 2020
Active emulation of computer codes with Gaussian processes --
  Application to remote sensing
Active emulation of computer codes with Gaussian processes -- Application to remote sensing
D. Svendsen
Luca Martino
Gustau Camps-Valls
61
54
0
13 Dec 2019
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex
  optimization
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization
Ömer Deniz Akyildiz
Dan Crisan
Joaquín Míguez
67
6
0
23 Nov 2018
Accelerating MCMC Algorithms
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
107
141
0
08 Apr 2018
A Review of Multiple Try MCMC algorithms for Signal Processing
A Review of Multiple Try MCMC algorithms for Signal Processing
Luca Martino
76
82
0
27 Jan 2018
Metropolis Sampling
Metropolis Sampling
Luca Martino
Victor Elvira
84
25
0
15 Apr 2017
Group Importance Sampling for Particle Filtering and MCMC
Group Importance Sampling for Particle Filtering and MCMC
Luca Martino
Victor Elvira
G. Camps-Valls
193
66
0
10 Apr 2017
Parallel Metropolis chains with cooperative adaptation
Parallel Metropolis chains with cooperative adaptation
Luca Martino
Victor Elvira
D. Luengo
F. Louzada
53
4
0
26 Sep 2015
Issues in the Multiple Try Metropolis mixing
Issues in the Multiple Try Metropolis mixing
Luca Martino
F. Louzada
52
23
0
18 Aug 2015
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