Stochastic Dynamical Low-Rank Approximation in the Context of Machine Learning
| Author: | Arsen Hnatiuk, Jonas Kusch, Lisa Kusch, Nicolas R. Gauger, Andrea Walther |
|---|---|
| URL: | https://link.springer.com/article/10.1007/s10957-025-02892-1 |
| DOI: | https://doi.org/10.1007/s10957-025-02892-1 |
| ISSN: | 2573-2878 |
| Journal: | Journal of Optimization Theory and Applications |
| Publisher: | Springer Nature - Springer |
| Document Type: | Research Article |
| Language: | English |
| Date of first Publication: | 2025/12/17 |
| Release Date: | 2026/02/04 |
| Volume: | 208 |
| Issue: | 1 |
| Article Number: | 63 |
| Page Number: | 33 |
| First Page: | 1 |
| Last Page: | 33 |
| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Informatik / AG Scientific Computing |
| Open access state: | Closed Access |
| RPTU: | Kaiserslautern |
| Research funding: | DFG |
| Created at the RPTU: | Yes |