6 citations · 6 across the 3 of their papers we have counts for
4 papers
A template for gradient norm minimization
Mihai I. Florea
The gradient mapping norm is a strong and easily verifiable stopping criterion for first-order methods on composite problems. When the objective exhibits the quadratic growth prope…
Adaptive first-order methods with enhanced worst-case rates
Mihai I. Florea
The Optimized Gradient Method (OGM), its strongly convex extension, the Information Theoretical Exact Method (ITEM), as well as the related Triple Momentum Method (TMM) have superi…
An optimal lower bound for smooth convex functions
Mihai I. Florea, Yurii Nesterov
First order methods endowed with global convergence guarantees operate using global lower bounds on the objective. The tightening of the bounds has been shown to increase both the…
Gradient Methods with Memory
Yurii Nesterov, Mihai I. Florea
In this paper, we consider gradient methods for minimizing smooth convex functions, which employ the information obtained at the previous iterations in order to accelerate the conv…