Fuzzy hyperparameters update in a second order optimization
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916173091700736 |
|---|---|
| author | Bensadok, Abdelaziz Babar, Muhammad Zeeshan |
| author_facet | Bensadok, Abdelaziz Babar, Muhammad Zeeshan |
| contents | This research will present a hybrid approach to accelerate convergence in a second order optimization. An online finite difference approximation of the diagonal Hessian matrix will be introduced, along with fuzzy inferencing of several hyperparameters. Competitive results have been achieved |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_15416 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fuzzy hyperparameters update in a second order optimization Bensadok, Abdelaziz Babar, Muhammad Zeeshan Machine Learning Artificial Intelligence Optimization and Control This research will present a hybrid approach to accelerate convergence in a second order optimization. An online finite difference approximation of the diagonal Hessian matrix will be introduced, along with fuzzy inferencing of several hyperparameters. Competitive results have been achieved |
| title | Fuzzy hyperparameters update in a second order optimization |
| topic | Machine Learning Artificial Intelligence Optimization and Control |
| url | https://arxiv.org/abs/2403.15416 |