Progress with Stochastic Gradient Descent part3(Machine Learning)
Convergence rates for momentum stochastic gradient descent with noise of machine learning type(arXiv) Author : Benjamin Gess, Sebastian Kassing Abstract : : We consider the momentum stochastic gradient descent scheme (MSGD) and its continuous-in-time counterpart in the context of non-convex optimization. We show almost sure exponential convergence of the objective…
Progress with Stochastic Gradient Descent part3(Machine Learning) Convergence rates for momentum stochastic gradient descent with noise of machine learning type(arXiv) Author : Benjamin Gess, Sebastian Kassing Abstract : : We consider the momentum stochastic gradient descent scheme (MSGD) and its continuous-in-time counterpart in the context of non-convex optimization. We show almost sure exponential convergence of the objective… deep-learning
Progress Stochastic Gradient Descent part3Machine Learning Convergence rate momentum stochastic gradient descent noise machine learning typearXiv Author Benjamin Gess Sebastian Kassing Abstract consider momentum stochastic gradient descent scheme MSGD continuousintime counterpart context nonconvex optimization show almost sure exponential convergence objective… deeplearning