no code implementations • ICML 2020 • Julien Hendrickx, Alex Olshevsky, Venkatesh Saligrama
We consider the problem of learning the qualities w_1, ... , w_n of a collection of items by performing noisy comparisons among them.
no code implementations • 8 Jan 2024 • Julien Hendrickx, Alex Olshevsky
We consider the generalization error associated with stochastic gradient descent on a smooth convex function over a compact set.
1 code implementation • 11 Jan 2022 • Baptiste Goujaud, Céline Moucer, François Glineur, Julien Hendrickx, Adrien Taylor, Aymeric Dieuleveut
PEPit is a Python package aiming at simplifying the access to worst-case analyses of a large family of first-order optimization methods possibly involving gradient, projection, proximal, or linear optimization oracles, along with their approximate, or Bregman variants.
