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The Recycling Gibbs Sampler for Efficient Learning

The Recycling Gibbs Sampler for Efficient Learning

21 November 2016
Luca Martino
Victor Elvira
Gustau Camps-Valls
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Papers citing "The Recycling Gibbs Sampler for Efficient Learning"

7 / 7 papers shown
Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
58
13
0
03 Jan 2025
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
E. Curbelo
Luca Martino
F. Llorente
D. Delgado-Gomez
42
1
0
03 Jan 2025
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
33
2
0
02 Oct 2024
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
14
153
0
25 Jul 2021
Importance Gaussian Quadrature
Importance Gaussian Quadrature
Victor Elvira
Luca Martino
Pau Closas
16
34
0
09 Jan 2020
Efficient Monte Carlo Methods for Multi-Dimensional Learning with
  Classifier Chains
Efficient Monte Carlo Methods for Multi-Dimensional Learning with Classifier Chains
Jesse Read
Luca Martino
D. Luengo
55
114
0
09 Nov 2012
Improved Adaptive Rejection Metropolis Sampling Algorithms
Improved Adaptive Rejection Metropolis Sampling Algorithms
Luca Martino
Jesse Read
D. Luengo
35
85
0
24 May 2012
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