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David Delgado-Gómez

◀ ▶ joint publications with Fernando Llorente 0001

> Home > Persons > David Delgado-Gómez

Publications

2023
[j34]
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  - journals/cstat/LlorenteMD23
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  - https://dblp.org/rec/journals/cstat/LlorenteMD23
Fernando Llorente, Luca Martino, David Delgado:
Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. 38(4): 2097-2119 (2023)
[j33]
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  - journals/siamrev/LlorenteMDL23
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Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. SIAM Rev. 65(1): 3-58 (2023)
2022
[j31]
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  - journals/sigpro/LlorenteMRD22
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Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in noisy importance sampling. Signal Process. 194: 108455 (2022)
[c11]
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  - conf/eusipco/LlorenteCMOD22
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Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado:
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO 2022: 2021-2025
[i6]
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  - journals/corr/abs-2201-02432
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Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in Noisy Importance Sampling. CoRR abs/2201.02432 (2022)
2021
[j30]
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  - journals/dsp/LlorenteMDC21
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Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls:
Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. 116: 103104 (2021)
[c10]
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  - conf/ssp/LlorenteMED21
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Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP 2021: 301-305
[i5]
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  - journals/corr/abs-2105-02579
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Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. CoRR abs/2105.02579 (2021)
[i4]
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  - journals/corr/abs-2108-00490
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Fernando Llorente, Luca Martino, Jessa Read, David Delgado:
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. CoRR abs/2108.00490 (2021)
2020
[j27]
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  - journals/access/FernandezME0L20
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Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago:
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8: 208462-208483 (2020)
[j23]
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  - journals/entropy/Carreras-Garcia20
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Danae Carreras-García, David Delgado-Gómez, Fernando Llorente-Fernández, Ana Arribas-Gil:
Patient No-Show Prediction: A Systematic Literature Review. Entropy 22(6): 675 (2020)
[c9]
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  - conf/eusipco/LlorenteMDL20
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Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago:
On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. EUSIPCO 2020: 2373-2377
[i3]
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  - journals/corr/abs-2005-08334
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Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR abs/2005.08334 (2020)
[i2]
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  - journals/corr/abs-2006-00535
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Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago:
Adaptive quadrature schemes for Bayesian inference via active learning. CoRR abs/2006.00535 (2020)
[i1]
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  - journals/corr/abs-2010-10346
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Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls:
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR abs/2010.10346 (2020)
2019
[j19]
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  - journals/spl/LlorenteMD19
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Fernando Llorente, Luca Martino, David Delgado:
Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. 26(6): 953-957 (2019)

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