Justin Sirignano

Stochastic Gradient Descent in Continuous Time: A Central Limit Theorem

2020 · Stochastic Systems

Stochastic gradient descent in continuous time (SGDCT) provides a computationally efficient method for the statistical learning of continuous-time models, which are widely used in science, engineering, and finance. The SGDCT algorithm follows a (noisy) descent …