Enhancing Fractional Gradient Descent with Learned Optimizers

Jan Sobotka, Petr Šimánek, Pavel Kordík

Fractional Gradient Descent (FGD) offers a novel and promising way to accelerate optimization by incorporating fractional calculus into machine learning. Although FGD has shown enc…