5 citations · 11 across the 18 of their papers we have counts for
5 papers · 1 filter
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati +1
The design of sparse neural networks, i.e., of networks with a reduced number of parameters, has been attracting increasing research attention in the last few years. The use of spa…
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci, Giuseppe Carlo Calafiore
Federated learning has emerged in the last decade as a distributed optimization paradigm due to the rapidly increasing number of portable devices able to support the heavy computat…
Survival and Neural Models for Private Equity Exit Prediction
Giuseppe C. Calafiore, Marisa H. Morales, Vittorio Tiozzo +2
Within the Private Equity (PE) market, the event of a private company undertaking an Initial Public Offering (IPO) is usually a very high-return one for the investors in the compan…
Sparse and Center Classifiers
Giuseppe C. Calafiore, Giulia Fracastoro
The nearest-centroid classifier is a simple linear-time classifier based on computing the centroids of the data classes in the training phase, and then assigning a new datum to the…
A Classifiers Voting Model for Exit Prediction of Privately Held Companies
Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo +1
Predicting the exit (e.g. bankrupt, acquisition, etc.) of privately held companies is a current and relevant problem for investment firms. The difficulty of the problem stems from…