Fernando Llorente

38 papers Misc 4Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A note on the area under the likelihood and the fake evidence for model selection. CoRR Luca Martino, Fernando Llorente
2026	J	`jnl`	Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes. Trans. Mach. Learn. Res. Daniel Waxman, Fernando Llorente, Petar M. Djuric
2025	J	`jnl`	A note on the area under the likelihood and the fake evidence for model selection. Comput. Stat. Luca Martino, Fernando Llorente
2025	Misc	`conf`	Adaptive Acquisition in Bayesian Optimization with Agnostic Ensembles. ICASSP Anand Ravishankar, Fernando Llorente, Yuanqing Song, Petar M. Djuric
2025	J	`jnl`	Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. CoRR Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025	J	`jnl`	Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. J. Frankl. Inst. Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025	J	`jnl`	Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes. CoRR Daniel Waxman, Fernando Llorente, Petar M. Djuric
2025	Misc	`conf`	Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems. ICASSP Fernando Llorente, Daniel Waxman, Petar M. Djuric
2025	J	`jnl`	Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems. CoRR Fernando Llorente, Daniel Waxman, Petar M. Djuric
2025	J	`jnl`	Designing an Optimal Sensor Network via Minimizing Information Loss. CoRR Daniel Waxman, Fernando Llorente, Katia Lamer, Petar M. Djuric
2025	—	`conf`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. EUSIPCO Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marqués
2025	J	`jnl`	Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data. CoRR Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marques
2025	—	`conf`	Improvement-Based Acquisition Functions for Level Set Estimation. EUSIPCO Anand Ravishankar, Fernando Llorente, Petar M. Djuric
2025	J	`jnl`	Optimality in importance sampling: a gentle survey. CoRR Fernando Llorente, Luca Martino
2025	J	`jnl`	Robust, Online, and Adaptive Decentralized Gaussian Processes. CoRR Fernando Llorente, Daniel Waxman, Sanket R. Jantre, Nathan M. Urban, Susan E. Minkoff
2025	J	`jnl`	Target-aware Bayesian inference via generalized thermodynamic integration. CoRR Fernando Llorente, Luca Martino, David Delgado-Gómez
2024	Misc	`conf`	Dynamic Random Feature Gaussian Processes for Bayesian Optimization of Time-Varying Functions. ICASSP Fernando Llorente, Petar M. Djuric
2024	J	`jnl`	Fusion of Gaussian Processes Predictions with Monte Carlo Sampling. CoRR Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric
2023	Misc	`conf`	FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING. ACSSC Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric
2023	J	`jnl`	Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. SIAM Rev. Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
2023	J	`jnl`	Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. Fernando Llorente, Luca Martino, David Delgado
2022	J	`jnl`	An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
2022	J	`jnl`	An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis. CoRR Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
2022	—	`conf`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read
2022	J	`jnl`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read
2022	J	`jnl`	Optimality in Noisy Importance Sampling. CoRR Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	J	`jnl`	Optimality in noisy importance sampling. Signal Process. Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	—	`conf`	Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
2021	—	`conf`	A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado
2021	J	`jnl`	A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. CoRR Fernando Llorente, Luca Martino, Jessa Read, David Delgado
2021	J	`jnl`	Automatic tempered posterior distributions for Bayesian inversion problems. CoRR Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez
2021	J	`jnl`	Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls
2021	J	`jnl`	MCMC-driven importance samplers. CoRR Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado
2020	J	`jnl`	Adaptive quadrature schemes for Bayesian inference via active learning. CoRR Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago
2020	J	`jnl`	Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls
2020	J	`jnl`	Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
2020	—	`conf`	On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. EUSIPCO Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago
2019	J	`jnl`	Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. Fernando Llorente, Luca Martino, David Delgado