Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and stringent assumptions for ...

Algorithms have become ubiquitous in modern life 1, with numerous applications in fields ranging from finance and business to healthcare and transportation. They are essential tools for making sense ...