167 citations · 280 across the 9 of their papers we have counts for
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math.OC2021
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
Jonathan Kelner, Annie Marsden, Vatsal Sharan +3
We provide new gradient-based methods for efficiently solving a broad class of ill-conditioned optimization problems. We consider the problem of minimizing a function $f : \mathbb{…
math.OC2017★ 16 cited
Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold
Honglin Yuan, Xiaoyi Gu, Rongjie Lai +1
Orthogonality constrained optimization is widely used in applications from science and engineering. Due to the nonconvex orthogonality constraints, many numerical algorithms often…