73 citations · 670 across the 56 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
math.OC2021
A Discrete Variational Derivation of Accelerated Methods in Optimization
Cédric M. Campos, Alejandro Mahillo, David Martín de Diego
Many of the new developments in machine learning are connected with gradient-based optimization methods. Recently, these methods have been studied using a variational perspective.…
math.NA2021★ 18 cited
Retraction maps: a seed of geometric integrators
María Barbero Liñán, David Martín de Diego
The classical notion of retraction map used to approximate geodesics is extended and rigorously defined to become a powerful tool to construct geometric integrators and it is calle…