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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 26–50 of 153 papers

TitleStatusHype
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
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar—0
Design of Artificial Interference Signals for Covert Communication Aided by Multiple Friendly Nodes—0
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance EstimationCode0
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization—0
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction—0
Registration of algebraic varieties using Riemannian optimizationCode0
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph EmbeddingCode0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Riemannian Self-Attention Mechanism for SPD Networks—0
Riemannian stochastic optimization methods avoid strict saddle points—0
The Fisher-Rao geometry of CES distributions—0
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings—0
Multichannel Active Noise Control with Exterior Radiation Suppression Based on Riemannian Optimization—0
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation—0
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