2 papers
math.OC2025
Oblivious Stochastic Composite Optimization
Clément Lezane, Alexandre d'Aspremont
In stochastic convex optimization problems, most existing adaptive methods rely on prior knowledge about the diameter bound when the smoothness or the Lipschitz constant is unk…
stat.ME2024
Differentially Private Algorithms for Linear Queries via Stochastic Convex Optimization
Giorgio Micali, Clement Lezane, Annika Betken
This article establishes a method to answer a finite set of linear queries on a given dataset while ensuring differential privacy. To achieve this, we formulate the corresponding t…