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RESEARCH · CL_06754 · Apr 28 · 04:00

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…