162 citations · 214 across the 13 of their papers we have counts for
10 papers · 1 filter
Wasserstein posterior contraction rates in non-dominated Bayesian nonparametric models
Federico Camerlenghi, Emanuele Dolera, Stefano Favaro +1
Posterior contractions rates (PCRs) strengthen the notion of Bayesian consistency, quantifying the speed at which the posterior distribution concentrates on arbitrarily small neigh…
On Johnson's "sufficientness" postulates for features-sampling models
Federico Camerlenghi, Stefano Favaro
In the 1920's, the English philosopher W.E. Johnson introduced a characterization of the symmetric Dirichlet prior distribution in terms of its predictive distribution. This is typ…
Consistent estimation of the missing mass for feature models
Fadhel Ayed, Marco Battiston, Federico Camerlenghi +1
Feature models are popular in machine learning and they have been recently used to solve many unsupervised learning problems. In these models every observation is endowed with a fi…
Optimal disclosure risk assessment
Federico Camerlenghi, Stefano Favaro, Zacharie Naulet +1
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample of size from a finite populat…
A Good-Turing estimator for feature allocation models
Fadhel Ayed, Marco Battiston, Federico Camerlenghi +1
Feature allocation models generalize species sampling models by allowing every observation to belong to more than one species, now called features. Under the popular Bernoulli prod…
On consistent estimation of the missing mass
Fadhel Ayed, Marco Battiston, Federico Camerlenghi +1
Given samples from a population of individuals belonging to different types with unknown proportions, how do we estimate the probability of discovering a new type at the $(n+1)…