1 citations · 1 across the 3 of their papers we have counts for
6 papers
An Information Theoretic approach to Post Randomization Methods under Differential Privacy
Fadhel Ayed, Marco Battiston, Federico Camerlenghi
Post Randomization Methods (PRAM) are among the most popular disclosure limitation techniques for both categorical and continuous data. In the categorical case, given a stochastic…
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…
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)…
Discussions of the paper "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox
Julyan Arbel, Marco Battiston, Stefano Favaro +5
These are written discussions of the paper "Sparse graphs using exchangeable random measures" by François Caron and Emily B. Fox, contributed to the Journal of the Royal Statistica…
A characterization of product-form exchangeable feature probability functions
Marco Battiston, Stefano Favaro, Daniel M. Roy +1
We characterize the class of exchangeable feature allocations assigning probability to a feature allocation of individuals, display…