3 papers
math.OC2026
Open-Loop Riemannian Frank--Wolfe: Fast Rates under Error Bounds and Scaling Inequalities
Kangming Chen
We explore fast convergence of the Riemannian Frank--Wolfe method for smooth geodesically convex optimization over compact feasible sets. Hadamard manifolds are the main setting. O…
math.OC2026
A Proximal Gradient Framework for Composite Multiobjective Optimization on Riemannian Manifolds
Kangming Chen
This paper proposes a Riemannian Multiobjective Proximal Gradient Method (RMPGM) for composite optimization problems on manifolds. Unlike scalarization-based approaches, the propos…
math.OC2024
Riemannian conditional gradient methods for composite optimization problems
Kangming Chen, Ellen H. Fukuda
In this paper, we propose Riemannian conditional gradient methods for minimizing composite functions, i.e., those that can be expressed as the sum of a smooth function and a retrac…