Hardy space

Researchers explore complex SGD and directional bias in kernel Hilbert spaces

Researchers have introduced a novel variant of Stochastic Gradient Descent (SGD) designed for complex-valued neural networks. This new method, termed complex SGD, offers convergence guarantees even without analyticity c…