3 papers
stat.ME2026
Robust Design in the Presence of Aleatoric and Epistemic Uncertainty
Luis G. Crespo
This paper proposes strategies for designing a system whose computational model is subject to aleatory and epistemic uncertainty. Aleatory variables, which are caused by randomness…
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…
math.OC2025
A Data-driven Approach to Risk-aware Robust Design
Luis G. Crespo, Bret Stanford, Natalia Alexandrov
This paper proposes risk-averse and risk-agnostic formulations to robust design in which solutions that satisfy the system requirements for a set of scenarios are pursued. These sc…