Period | 27 Aug 2024 → 30 Aug 2024 |
---|---|
Event type | Workshop |
Location | Louvain-la-Neuve, BelgiumShow on map |
Degree of Recognition | International |
Keywords
- Nonlinear optimization
- deep learning
Documents & Links
Related content
-
Research output
-
An optimally fast objective-function-free minimization algorithm using random subspaces
Research output: Working paper › Preprint
-
Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bounds constraints
Research output: Working paper
-
Divergence of the ADAM algorithm with fixed-stepsize: a (very) simple example
Research output: Working paper › Discussion paper
-
A Stochastic Objective-Function-Free Adaptive Regularization Method with Optimal Complexity
Research output: Working paper
-
Convergence properties of an Objective-Function-Free Optimization regularization algorithm, including an 0(epsilon^{-3/2}) complexity bound
Research output: Contribution to journal › Article › peer-review
-
OFFO minimization algorithms for second-order optimality and their complexity
Research output: Contribution to journal › Article › peer-review
-
Yet another fast variant of Newton's method for nonconvex optimization
Research output: Working paper
-
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training
Research output: Contribution to journal › Article › peer-review
-
Projects
-
ADALGOPT - Advanced algorithms in nonlinear optimization
Project: Research Axis