Mario Di Francesco

Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems

Stochastic optimization (SO) plays a central role in addressing decision‐making problems under uncertainty. Among them, time-varying stochastic optimization (TV-SO) is particularly important due to its applications in adaptive control and machine learning. Non-parametric approaches have been propose…