4 papers · 1 filter
Logistic-beta processes for dependent random probabilities with beta marginals
Changwoo J. Lee, Alessandro Zito, Huiyan Sang +1
The beta distribution serves as a canonical tool for modeling probabilities in statistics and machine learning. However, there is limited work on flexible and computationally conve…
Pareto optimal proxy metrics
Alessandro Zito, Dylan Greaves, Jacopo Soriano +1
North star metrics and online experimentation play a central role in how technology companies improve their products. In many practical settings, however, evaluating experiments ba…
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
Alessandro Zito, Tommaso Rigon, David B. Dunson
Dirichlet process mixtures are particularly sensitive to the value of the precision parameter controlling the behavior of the latent partition. Randomization of the precision throu…
Bayesian nonparametric modelling of sequential discoveries
Alessandro Zito, Tommaso Rigon, Otso Ovaskainen +1
We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sampl…