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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 81–90 of 153 papers

TitleStatusHype
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds—0
Projection Robust Wasserstein Barycenters—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient—0
Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metricsCode0
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method—0
Riemannian stochastic recursive momentum method for non-convex optimization—0
Representation Learning via Adversarially-Contrastive Optimal Transport—0
Variance reduction for Riemannian non-convex optimization with batch size adaptation—0
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