research
∙
05/23/2023
A Block-Coordinate Approach of Multi-level Optimization with an Application to Physics-Informed Neural Networks
Multi-level methods are widely used for the solution of large-scale prob...
share
research
∙
04/06/2021
Hölder Gradient Descent and Adaptive Regularization Methods in Banach Spaces for First-Order Points
This paper considers optimization of smooth nonconvex functionals in smo...
research
∙
04/06/2021
The Impact of Noise on Evaluation Complexity: The Deterministic Trust-Region Case
Intrinsic noise in objective function and derivatives evaluations may ca...
research
∙
03/30/2021
Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation
This paper focuses on regularisation methods using models up to the thir...
research
∙
11/03/2018
Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints
We provide sharp worst-case evaluation complexity bounds for nonconvex m...
research
∙
11/26/2017
A note on using performance and data profilesfor training algorithms
It is shown how to use the performance and data profile benchmarking too...
research
∙
08/14/2017
