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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 1–50 of 153 papers

TitleStatusHype
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic MatchingCode2
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian ApproachCode2
Geoopt: Riemannian Optimization in PyTorchCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
Riemannian Adaptive Optimization MethodsCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
Fast hyperboloid decision tree algorithmsCode1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
Projective Manifold Gradient Layer for Deep Rotation RegressionCode1
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
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
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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