Nonmonotone Coderivative-Based Newton Methods for Nonsmooth Optimization with Machine Learning Applications
Newton-type algorithms are among the most effective methods for solving optimization problems because of their rapid local convergence. However, extending these methods to nonsmooth optimization is challenging due to the difficulty of incorporating second-order information. To address this issue, we propose a coderivat...