Session TB-10: First order methods: new perspectives for machine learning in stream Large scale optimization: methods and algorithms
Tuesday, 10:30-12:30Room: B100/8011
| Session chair(s): |
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| 36. Convergence Analysis of Nonlinear Parabolic PDE Models with Neural Network Terms Trained with Gradient Descent |
Konstantin Riedl
[R] - United Kingdom | accepted | ||
| Justin Sirignano
[] - United Kingdom | ||||
| Konstantinos Spiliopoulos
[] - United States | ||||
| 175. Randomized trust-region method for non-convex mimimization |
Radu-Alexandru Dragomir
[R] - France | accepted | ||
| 351. Perspectives on the analysis and design of optimization algorithms: Lyapunov analyses and counter-examples |
Adrien Taylor
[R] - France | accepted | ||
| 447. Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping |
Juan Peypouquet
[R] - Netherlands | accepted | ||