Centered Weak Discrete Riemannian Gradients: A Unified Framework for Riemannian Optimization
Abstract
We introduce the centered weak discrete Riemannian gradient (c-wDRG) framework for the unified analysis of optimization methods on Riemannian manifolds. The framework uses a center point to represent the relevant logarithmic differences in a common tangent space and covers Riemannian steepest descent, proximal point, proximal gradient, implicit midpoint, geodesic average-vector-field, Gonzalez, and Itoh--Abe methods. We derive c-wDRG certificates for these schemes and establish convergence bounds with explicit curvature-dependent step-size conditions. Under suitable c-wDRG parameter and step-size conditions, nonaccelerated schemes achieve O(k−1) or linear convergence of the objective gap. We further develop accelerated c-wDRG schemes with O(k−2) or accelerated linear convergence under the respective parameter conditions. Numerical experiments support the theoretical convergence results.
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BibTeX
@misc{zhou2026centered,
title = {{Centered Weak Discrete Riemannian Gradients: A Unified Framework for Riemannian Optimization}},
author = {Derun Zhou and Mahito Sugiyama},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2608.21862},
eprint = {2608.21862},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.21862},
}
RIS
TY - UNPB
TI - Centered Weak Discrete Riemannian Gradients: A Unified Framework for Riemannian Optimization
AU - Derun Zhou
AU - Mahito Sugiyama
PY - 2026
DA - 2026/10/03
PB - arXiv
DO - 10.48550/arxiv.2608.21862
UR - https://arxiv.org/abs/2608.21862
AB - We introduce the centered weak discrete Riemannian gradient (c-wDRG) framework for the unified analysis of optimization methods on Riemannian manifolds. The framework uses a center point to represent the relevant logarithmic differences in a common tangent space and covers Riemannian steepest descent, proximal point, proximal gradient, implicit midpoint, geodesic average-vector-field, Gonzalez, and Itoh--Abe methods. We derive c-wDRG certificates for these schemes and establish convergence bounds with explicit curvature-dependent step-size conditions. Under suitable c-wDRG parameter and step-size conditions, nonaccelerated schemes achieve O(k^−1) or linear convergence of the objective gap. We further develop accelerated c-wDRG schemes with O(k^−2) or accelerated linear convergence under the respective parameter conditions. Numerical experiments support the theoretical convergence results.
ER -