Conference Publications

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2020

Romero-Medrano, Lorena; Moreno-Muñoz, P; Artés-Rodríguez, Antonio

Multinomial Sampling for hierarchical Change-Point Detection Inproceedings

In: 2020 IEEE International Workshop on Machine Learning for Signal Processing, 2020.

BibTeX | Tags: Bayesian inference, change-point detection (CPD), latent variable models, multinomial likelihoods

2018

Martino, Luca; Elvira, Victor; Miguez, Joaquín; Artés-Rodríguez, Antonio; Djuric, Petar M

A Comparison Of Clipping Strategies For Importance Sampling Inproceedings

In: 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018.

Links | BibTeX | Tags: Bayesian inference, Importance sampling, Monte Carlo methods, Parameter estimation, Variance Reduction methods

2015

Martino, Luca; Elvira, Victor; Luengo, David; Corander, Jukka

Parallel interacting Markov adaptive importance sampling Inproceedings

In: 2015 23rd European Signal Processing Conference (EUSIPCO), pp. 499–503, IEEE, Nice, 2015, ISBN: 978-0-9928-6263-3.

Abstract | Links | BibTeX | Tags: Adaptive importance sampling, Bayesian inference, MCMC methods, Monte Carlo methods, Parallel Chains, Probability density function, Proposals, Signal processing, Signal processing algorithms, Sociology

Martino, Luca; Elvira, Victor; Luengo, David; Artés-Rodríguez, Antonio; Corander, Jukka

Smelly Parallel MCMC Chains Inproceedings

In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4070–4074, IEEE, Brisbane, 2015, ISBN: 978-1-4673-6997-8.

Abstract | Links | BibTeX | Tags: Bayesian inference, learning (artificial intelligence), Machine learning, Markov chain Monte Carlo, Markov chain Monte Carlo algorithms, Markov processes, MC methods, MCMC algorithms, MCMC scheme, mean square error, mean square error methods, Monte Carlo methods, optimisation, parallel and interacting chains, Probability density function, Proposals, robustness, Sampling methods, Signal processing, Signal processing algorithms, signal sampling, smelly parallel chains, smelly parallel MCMC chains, Stochastic optimization

2014

Martino, Luca; Elvira, Víctor; Luengo, David; Artés-Rodríguez, Antonio; Corander, Jukka

Orthogonal MCMC Algorithms Inproceedings

In: 2014 IEEE Workshop on Statistical Signal Processing (SSP 2014), Gold Coast, 2014.

Abstract | Links | BibTeX | Tags: Bayesian inference, Markov Chain Monte Carlo (MCMC), Parallel Chains, population Monte Carlo

2013

Read, Jesse; Martino, Luca; Luengo, David

Eficient Monte Carlo Optimization for Multi-Label Classifier Chains Inproceedings

In: ICASSP 2013: The 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, 2013.

Abstract | BibTeX | Tags: Bayesian inference, Classifier chains, Monte Carlo methods, Multi-dimensional classification, Multi-label classification