A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

18 Feb 2017 • Yuchen Zhang • Percy Liang • Moses Charikar

We study the Stochastic Gradient Langevin Dynamics (SGLD) algorithm for non-convex optimization. The algorithm performs stochastic gradient descent, where in each step it injects appropriately scaled Gaussian noise to the update... (read more)

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