2015
Fast Second Order Stochastic Backpropagation for Variational Inference
NeurIPS 2015poster
We propose a second-order (Hessian or Hessian-free) based optimization method for variational inference inspired by Gaussian backpropagation, and argue that quasi-Newton optimization can be developed as well. This is accomplished by generalizing the gradient computation in stochastic backpropagatio…