162 citations · 488 across the 53 of their papers we have counts for
8 papers · 1 filter
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
Matteo Sesia, Stefano Favaro, Edgar Dobriban
This paper develops conformal inference methods to construct a confidence interval for the frequency of a queried object in a very large discrete data set, based on a sketch with a…
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data
Stefano Favaro, Matteo Sesia
The estimation of coverage probabilities, and in particular of the missing mass, is a classical statistical problem with applications in numerous scientific fields. In this paper,…
Large-width asymptotics for ReLU neural networks with -Stable initializations
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
There is a recent and growing literature on large-width asymptotic properties of Gaussian neural networks (NNs), namely NNs whose weights are initialized as Gaussian distributions.…
Conformal Frequency Estimation with Sketched Data
Matteo Sesia, Stefano Favaro
A flexible conformal inference method is developed to construct confidence intervals for the frequencies of queried objects in very large data sets, based on a much smaller sketch…
Strong posterior contraction rates via Wasserstein dynamics
Emanuele Dolera, Stefano Favaro, Edoardo Mainini
In Bayesian statistics, posterior contraction rates (PCRs) quantify the speed at which the posterior distribution concentrates on arbitrarily small neighborhoods of a true model, i…
A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering
Cecilia Balocchi, Federico Camerlenghi, Stefano Favaro
Species-sampling problems (SSPs) refer to a vast class of statistical problems calling for the estimation of (discrete) functionals of the unknown species composition of an unobser…