27 citations · 28 across the 2 of their papers we have counts for
3 papers
math.OC2026
Direct Inference on Admissible Sets (Diona)
Lorenzo Sabug, Eric Kerrigan
We propose a new regression method named Direct Inference on Admissible Sets (Diona) that directly uses samples to estimate the state and its derivatives at a query point, along wi…
math.OC2022★ 1 cited
SMGO-: Balancing Caution and Reward in Global Optimization with Black-Box Constraints
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
In numerous applications across all science and engineering areas, there are optimization problems where both the objective function and the constraints have no closed-form express…
math.OC2020★ 27 cited
SMGO: A Set Membership Approach to Data-Driven Global Optimization
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
Many science and engineering applications feature non-convex optimization problems where the objective function can not be handled analytically, i.e. it is a black box. Examples in…