1 citations · 1 across the 3 of their papers we have counts for
3 papers
Geometry-dependent matching pursuit: a transition phase for convergence on linear regression and LASSO
Céline Moucer, Adrien Taylor, Francis Bach
Greedy first-order methods, such as coordinate descent with Gauss-Southwell rule or matching pursuit, have become popular in optimization due to their natural tendency to propose s…
On Fundamental Proof Structures in First-Order Optimization
Baptiste Goujaud, Aymeric Dieuleveut, Adrien Taylor
First-order optimization methods have attracted a lot of attention due to their practical success in many applications, including in machine learning. Obtaining convergence guarant…
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
Mathieu Even, Raphaël Berthier, Francis Bach +5
We introduce the continuized Nesterov acceleration, a close variant of Nesterov acceleration whose variables are indexed by a continuous time parameter. The two variables continuou…