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Adaptive Fast Gradient Method in Stochastic Optimization Tasks by Tyurin, Alexander is a scholarly article available to read on EtoBox.

What is Adaptive Fast Gradient Method in Stochastic Optimization Tasks about?

In this paper, we describe a stochastic adaptive fast gradient descent method based on the mirror variant of similar triangles method. To our knowledge, this is the first attempt to use adaptivity in stochastic method. Additionally, a main result was proved in terms of probabilities of large deviations.

Author

Tyurin, Alexander

Published

2017

Language

EN