2 papers
cs.LG2026
One-Shot Localisation of the Global Minimum of a Noisy One-Dimensional Function: A Controlled Comparison of an Iterative Neural Minimizer, Set Transformers and Classical Estimators
Qusay Muzaffar, David Levin, Michael Werman
We study passive global optimisation: from twenty noisy samples of an unknown one-dimensional function, with no further queries, estimate where its global minimum lies. We build a…
math.NA2022
Interpolation of Set-Valued Functions
Qusay Muzaffar, Nira Dyn, David Levin
Given a finite number of samples of a continuous set-valued function F, mapping an interval to compact subsets of the real line, we develop good approximations of F, which can be c…