Proyecto
 (2020)

First-Order Accelerated Methods in optimization and machine learning (FOAM)

Guzmán, Cristóbal; d'Aspremont, Alexandre

Más información

Fecha de publicación: 2020
Objetivos: To conduct a systematic study of optimal convergence rates in statistical learning, stochastic convex optimization, variational inequalities and fixed-point problems under the performance estimation problem (PEP).
Año de Inicio/Término: 2020-2022
Financiamiento/Sponsor: inria
Rol del Usuario: INVESTIGADOR(A) RESPONSABLE
URL: https://sites.google.com/view/cguzman/talks-and-events/foam-associate-team?authuser=0
DOI:

DRI-012014
Notas: Project: INRIA Assocaite Teams