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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 11–20 of 153 papers

TitleStatusHype
Tensor-Train Density EstimationCode1
Poincaré Embeddings for Learning Hierarchical RepresentationsCode1
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning—0
PoLAR: Polar-Decomposed Low-Rank Adapter Representation—0
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold MethodCode0
Riemannian Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates—0
Differential Evolution for Grassmann Manifold Optimization: A Projection Approach—0
Higher Order Reduced Rank Regression—0
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation—0
The Distributionally Robust Optimization Model of Sparse Principal Component Analysis—0
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