no code implementations • 9 Jun 2020 • Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
In this work we define a unified mathematical framework to deepen our understanding of the role of stochastic gradient (SG) noise on the behavior of Markov chain Monte Carlo sampling (SGMCMC) algorithms.
2 code implementations • 16 Mar 2020 • Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
Accurate travel products price forecasting is a highly desired feature that allows customers to take informed decisions about purchases, and companies to build and offer attractive tour packages.
Applications
no code implementations • 21 Oct 2019 • Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
Large scale machine learning is increasingly relying on distributed optimization, whereby several machines contribute to the training process of a statistical model.