16 citations · 16 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Neural lasso: a unifying approach of lasso and neural networks
David Delgado, Ernesto Curbelo, Danae Carreras
In recent years, there is a growing interest in combining techniques attributed to the areas of Statistics and Machine Learning in order to obtain the benefits of both approaches.…
stat.CO2021★ 16 cited
MCMC-driven importance samplers
F. Llorente, E. Curbelo, L. Martino +2
Monte Carlo sampling methods are the standard procedure for approximating complicated integrals of multidimensional posterior distributions in Bayesian inference. In this work, we…