29 citations · 160 across the 58 of their papers we have counts for
3 papers · 1 filter
On the computational complexity and generalization properties of multi-stage and recursive scenario programs
Nikolaos Kariotoglou, Kostas Margellos, John Lygeros
We discuss the computational complexity and feasibility properties of scenario based techniques for uncertain optimization programs. We consider different solution alternatives ran…
On the connection between compression learning and scenario based optimization
Kostas Margellos, Maria Prandini, John Lygeros
We investigate the connections between compression learning and scenario based optimization. We first show how to strengthen, or relax the consistency assumption at the basis of co…
A scenario approach for non-convex control design
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos +2
Randomized optimization is an established tool for control design with modulated robustness. While for uncertain convex programs there exist randomized approaches with efficient sa…