1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2024
Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps
Benjamin Grimmer, Kevin Shu, Alex L. Wang
This work considers gradient descent for L-smooth convex optimization with stepsizes larger than the classic regime where descent can be ensured. The stepsize schedules considered…
math.OC2023★ 1 cited
Accelerated Gradient Descent via Long Steps
Benjamin Grimmer, Kevin Shu, Alex L. Wang
Recently Grimmer [1] showed for smooth convex optimization by utilizing longer steps periodically, gradient descent's textbook convergence guarantees can be improved by c…
math.OC2021
Implicit regularity and linear convergence rates for the generalized trust-region subproblem
Alex L. Wang, Yunlei Lu, Fatma Kilinc-Karzan
In this paper we develop efficient first-order algorithms for the generalized trust-region subproblem (GTRS), which has applications in signal processing, compressed sensing, and e…