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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 51–60 of 153 papers

TitleStatusHype
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning—0
Hamiltonian Monte-Carlo for Orthogonal Matrices—0
Higher Order Reduced Rank Regression—0
Hyperbolic Node Embedding for Signed Networks—0
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation—0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints—0
Learning an Invariant Hilbert Space for Domain Adaptation—0
Learning Discriminative ab-Divergences for Positive Definite Matrices—0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)—0
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization—0
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