A Riemannian Accelerated Proximal Extragradient Framework and its Implications
W e contribute to advancing the understanding of Riemannian accelerated gradient methods. In particular, we revisit " Accelerated Hybrid Proximal Extragradient " (A-HPE), a powerful framework for obtaining Euclidean accelerated metho ds [ 29 ]. Building on A-HPE, we then propose and analyze Riemannian A-HPE. The core of our analysis consists of two key components: (i) a set of new insights into Euclidean A -HPE itself; and (ii) a careful control of metric distortion caused by Riemannian g eometry . W e illustrate our framework by obtaining a few existing and new Riemannian acc elerated gradient methods as special cases, while characterizing their accelerat ion as corollaries of our main results.
Nov-4-2021
- Country:
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.14)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- Asia > China
- North America > United States
- Genre:
- Research Report (0.40)
- Technology: