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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 1–25 of 153 papers

TitleStatusHype
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
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
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
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization—0
Spectral-factorized Positive-definite Curvature Learning for NN Training—0
Causal Abstraction Learning based on the Semantic Embedding PrincipleCode0
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks—0
A Spectral Framework for Tracking Communities in Evolving NetworksCode0
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learningCode0
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation—0
Structured Regularization for Constrained Optimization on the SPD Manifold—0
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees—0
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization—0
Optimal Matrix-Mimetic Tensor Algebras via Variable ProjectionCode0
Riemannian coordinate descent algorithms on matrix manifolds—0
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms—0
Optimization without Retraction on the Random Generalized Stiefel ManifoldCode0
Fast Quantum Process Tomography via Riemannian Gradient Descent—0
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