Luca Martino
TitleCited byYear
Efficient monte carlo methods for multi-dimensional learning with classifier chains
J Read, L Martino, D Luengo
Pattern Recognition 47 (3), 1535-1546, 2014
722014
Effective sample size for importance sampling based on discrepancy measures
L Martino, V Elvira, F Louzada
Signal Processing 131, 386-401, 2017
622017
Cooperative parallel particle filters for online model selection and applications to urban mobility
L Martino, J Read, V Elvira, F Louzada
Digital Signal Processing 60, 172-185, 2017
602017
Independent doubly adaptive rejection Metropolis sampling within Gibbs sampling
L Martino, J Read, D Luengo
IEEE Transactions on Signal Processing 63 (12), 3123-3138, 2015
57*2015
An adaptive population importance sampler: Learning from uncertainty
L Martino, V Elvira, D Luengo, J Corander
IEEE Transactions on Signal Processing 63 (16), 4422-4437, 2015
522015
Generalized multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
arXiv preprint arXiv:1511.03095, 2015
51*2015
Scalable multi-output label prediction: From classifier chains to classifier trellises
J Read, L Martino, PM Olmos, D Luengo
Pattern Recognition 48 (6), 2096-2109, 2015
502015
Layered adaptive importance sampling
L Martino, V Elvira, D Luengo, J Corander
Statistics and Computing, 1-25, 2015
492015
Efficient multiple importance sampling estimators
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 22 (10), 1757-1761, 2015
482015
Orthogonal MCMC algorithms
L Martino, V Elvira, D Luengo, A Artes-Rodriguez, J Corander
2014 IEEE Workshop on Statistical Signal Processing (SSP), 364-367, 2014
47*2014
On the flexibility of the design of multiple try Metropolis schemes
L Martino, J Read
Computational Statistics 28 (6), 2797-2823, 2013
442013
Adaptive importance sampling in signal processing
MF Bugallo, L Martino, J Corander
Digital Signal Processing 47, 36-49, 2015
422015
Improving population Monte Carlo: Alternative weighting and resampling schemes
V Elvira, L Martino, D Luengo, MF Bugallo
Signal Processing 131, 77-91, 2017
392017
Adaptive importance sampling: the past, the present, and the future
MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric
IEEE Signal Processing Magazine 34 (4), 60-79, 2017
372017
A generalization of the adaptive rejection sampling algorithm
L Martino, J Míguez
Statistics and Computing 21 (4), 633-647, 2011
352011
Fully adaptive gaussian mixture metropolis-hastings algorithm
D Luengo, L Martino
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
342013
Generalized rejection sampling schemes and applications in signal processing
L Martino, J Míguez
Signal Processing 90 (11), 2981-2995, 2010
332010
Group Importance Sampling for particle filtering and MCMC
L Martino, V Elvira, G Camps-Valls
Digital Signal Processing 82, 133-151, 2018
322018
Efficient Monte Carlo optimization for multi-label classifier chains
J Read, L Martino, D Luengo
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
322013
A multi-point Metropolis scheme with generic weight functions
L Martino, VP Del Olmo, J Read
Statistics & Probability Letters 82 (7), 1445-1453, 2012
322012
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Articles 1–20