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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 51–75 of 153 papers

TitleStatusHype
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
Learning Graphical Factor Models with Riemannian OptimizationCode0
Rieoptax: Riemannian Optimization in JAXCode0
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian ManifoldCode0
Riemannian optimization for non-centered mixture of scaled Gaussian distributionsCode0
Manifold Free Riemannian Optimization—0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints—0
On a class of geodesically convex optimization problems solved via Euclidean MM methods—0
Riemannian CUR Decompositions for Robust Principal Component Analysis—0
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayCode0
Riemannian stochastic approximation algorithms—0
Differentially private Riemannian optimization—0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Riemannian Hamiltonian methods for min-max optimization on manifolds—0
Riemannian block SPD coupling manifold and its application to optimal transportCode0
Manifold Optimization Methods for Hybrid beamforming in mmWave Dual-Function Radar-Communication System—0
Understanding Riemannian Acceleration via a Proximal Extragradient Framework—0
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization—0
Projective Manifold Gradient Layer for Deep Rotation RegressionCode1
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
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