80 citations · 164 across the 13 of their papers we have counts for
4 papers · 1 filter
An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis
R. San Millán-Castillo, L. Martino, E. Morgado +1
In the last decade, soundscapes have become one of the most active topics in Acoustics, providing a holistic approach to the acoustic environment, which involves human perception a…
On the safe use of prior densities for Bayesian model selection
F. Llorente, L. Martino, E. Curbelo +2
The application of Bayesian inference for the purpose of model selection is very popular nowadays. In this framework, models are compared through their marginal likelihoods, or the…
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies
Simo Alami. C, Fernando Llorente, Rim Kaddah +2
Reinforcement Learning has drawn huge interest as a tool for solving optimal control problems. Solving a given problem (task or environment) involves converging towards an optimal…
Optimality in Noisy Importance Sampling
Fernando Llorente, Luca Martino, Jesse Read +1
In this work, we analyze the noisy importance sampling (IS), i.e., IS working with noisy evaluations of the target density. We present the general framework and derive optimal prop…