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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…
math.OC2024
Acceleration Methods
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
This monograph covers some recent advances in a range of acceleration techniques frequently used in convex optimization. We first use quadratic optimization problems to introduce t…