4 papers
Quantification and Decomposition of Uncertainty Using Sliced-Normal Distribution: With Applications to NASA Data
Arindam RoyChowdhury, Luis G. Crespo, Henry Lam
Modeling multivariate distributions with nonlinear dependence, multimodality, and tractable analytical structure for downstream applications is a central challenge in uncertainty q…
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…
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…
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…