4 citations · 8 across the 5 of their papers we have counts for
5 papers
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
Davide La Torre, Danilo Liuzzi, Marco Repetto +1
The training phase is the most important stage during the machine learning process. In the case of labeled data and supervised learning, machine training consists in minimizing the…
Genericity of well-posed vector optimization problems
Matteo Rocca
In this paper we consider well-posedness properties of vector optimization problems with objective function where and are Banach spaces and is partially or…
Insights on the Theory of Robust Games
Giovanni Paolo Crespi, Davide Radi, Matteo Rocca
A robust game is a distribution-free model to handle ambiguity generated by a bounded set of possible realizations of the values of players' payoff functions. The players are worst…
Set Relations and Approximate Solutions in Set Optimization
Giovanni Crespi, Andreas H Hamel, Matteo Rocca +1
Via a family of monotone scalar functions, a preorder on a set is extended to its power set and then used to construct a hull operator and a corresponing complete lattice of sets.…
Variational inequalities characterizing weak minimality in set optimization
Giovanni P. Crespi, MatteoRocca, Carola Schrage
We introduce the notion of weak minimizer in set optimization. Necessary and sufficient conditions in terms of scalarized variational inequalities of Stampacchia and Minty type, re…