Proximal bundle method achieves sublinear rates for general nonsmooth geodesically convex objectives and linear rates under sharp growth on Hadamard manifolds using only subgradients and inexact primitives.
Wolfe,A method of conjugate subgradients for minimizing nondifferentiable functions, in Springer Berlin Heidelberg, Springer, Berlin, Heidelberg, 1975, pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Nonsmooth Riemannian optimization with inexact manifold primitives via bundle methods
Proximal bundle method achieves sublinear rates for general nonsmooth geodesically convex objectives and linear rates under sharp growth on Hadamard manifolds using only subgradients and inexact primitives.