5 citations · 10 across the 12 of their papers we have counts for
3 papers · 1 filter
Optimal and computationally tractable lower bounds for logistic log-likelihoods
Niccolò Anceschi, Cristian Castiglione, Tommaso Rigon +2
The logit transform is arguably the most widely-employed link function beyond linear settings. This transformation routinely appears in regression models for binary data and provid…
Scalable expectation propagation for generalized linear models
Niccolò Anceschi, Augusto Fasano, Beatrice Franzolini +1
Generalized linear models (GLMs) arguably represent the standard approach for statistical regression beyond the Gaussian likelihood scenario. When Bayesian formulations are employe…
Bayesian Joint Additive Factor Models for Multiview Learning
Niccolo Anceschi, Federico Ferrari, David B. Dunson +1
It is increasingly common to collect data of multiple different types on the same set of samples. Our focus is on studying relationships between such multiview features and respons…