80 citations · 146 across the 7 of their papers we have counts for
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stat.ME2022★ 25 cited
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…
stat.ML2022
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…