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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 76–100 of 153 papers

TitleStatusHype
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization—0
Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometryCode0
Tensor train completion: local recovery guarantees via Riemannian optimization—0
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems—0
Nonlinear matrix recovery using optimization on the Grassmann manifoldCode0
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization—0
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix ManifoldsCode0
Faster Randomized Methods for Orthogonality Constrained Problems—0
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein GeometryCode0
Accurate and fast matrix factorization for low-rank learningCode0
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
Projection Robust Wasserstein Distance and Riemannian Optimization—0
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection—0
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold—0
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
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