where \(f:R^n \rightarrow R\) is continuously differentiable. There are many methods for solving (1) such as quasi-Newton methods, Levenberg-Marquardt (LM) methods, and trust region methods. However, ...
Global optimization techniques are increasingly preferred over human-driven methods in the design of electromagnetic structures such as metasurfaces, and careful construction and parameterization of ...
Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...