2 papers
cs.CE2026
Integration of local and global surrogates for failure probability estimation
Audrey Gaymann, Juan M. Cardenas, Sung Min Jo +2
This paper presents the development of an algorithm, termed the Global-Local Hybrid Surrogate (GLHS), designed to efficiently compute the probability of rare failure events in comp…
cs.LG2026
A unified framework for learning with nonlinear model classes from arbitrary linear samples
Ben Adcock, Juan M. Cardenas, Nick Dexter
We study the fundamental problem of learning an unknown object from data using a prescribed model class. We introduce a unified framework that accommodates objects in arbitrary Hil…