2020
Revisit of Estimate Sequence for Accelerated Gradient Methods
ICASSP 2020accepted
In this paper, we revisit the problem of minimizing a convex function f(x) with Lipschitz continuous gradient via accelerated gradient methods (AGM). To do so, we consider the so-called estimate sequence (ES), a useful analysis tool for establishing the convergence of AGM. We develop a generalized E…