Co-occurring keywords · papers mentioning both
Papers
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
ICML 2024
Wasserstein Proximal Coordinate Gradient Algorithms
JMLR 2024
Curvature and complexity: Better lower bounds for geodesically convex optimization
COLT 2023
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
NeurIPS 2023
Riemannian Projection-free Online Learning
NeurIPS 2023
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
ICML 2022
Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles
COLT 2022