68 citations · 98 across the 14 of their papers we have counts for
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cs.LG2025
Risk Analysis and Design Against Adversarial Actions
Marco C. Campi, Algo Carè, Luis G. Crespo +2
Learning models capable of providing reliable predictions in the face of adversarial actions has become a central focus of the machine learning community in recent years. This chal…
cs.LG2023★ 5 cited
Compression, Generalization and Learning
Marco C. Campi, Simone Garatti
A compression function is a map that slims down an observational set into a subset of reduced size, while preserving its informational content. In multiple applications, the condit…
cs.LG2020
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines
Marco C. Campi, Simone Garatti
In this paper we consider optimization with relaxation, an ample paradigm to make data-driven designs. This approach was previously considered by the same authors of this work in G…