Adrien Taylor's starred repositories
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Performance-Estimation-Toolbox
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Learning-Performance-Estimation
This repository regroups learning ressources about performance estimation problems
notebook-progress-tracker
Track progress in jupyter notebooks
BregmanPerformanceEstimation
Performance Estimation Problem for Bregman first order methods
InexactProximalOperators
Code associated with the work "Principled Analyses and Design of First-order Methods with Inexact Proximal Operators".
2021-measures-PGM
Code for the paper "Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures"