Inexact Tensor Methods and Their Application to Stochastic Convex Optimization

Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky +2

We propose general non-accelerated and accelerated tensor methods under inexact information on the derivatives of the objective, analyze their convergence rate. Further, we provide…