Complex SGD and Directional Bias in Reproducing Kernel Hilbert Spaces
arXiv:2604.23017v1 Announce Type: new
Abstract: Stochastic Gradient Descent (SGD) is a known stochastic iterative method popular for large-scale convex optimization problems due to its simple implementation and scalability. Some objectives, such as th…