One of the key issues in :numref:sec_adagrad is that the learning rate decreases at a predefined schedule of effectively $\mathcal{O}(t^{-\frac{1}{2}})$. While this is generally appropriate for convex ...
RMSProp. Based on the PyTorch v1.5.0 implementation of RMSprop.
Abstract: A concise method using only S1 vector in Stokes space and an adaptive gradient algorithm for calibrating LiNbO3-based polarization controller are proposed, which complexity reduces by 75% ...