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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 1–25 of 153 papers

TitleStatusHype
Geoopt: Riemannian Optimization in PyTorchCode2
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian ApproachCode2
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic MatchingCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
Riemannian Adaptive Optimization MethodsCode2
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
Fast hyperboloid decision tree algorithmsCode1
Poincaré Embeddings for Learning Hierarchical RepresentationsCode1
Projective Manifold Gradient Layer for Deep Rotation RegressionCode1
Tensor-Train Density EstimationCode1
Low-complexity subspace-descent over symmetric positive definite manifoldCode0
Learning Graphical Factor Models with Riemannian OptimizationCode0
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance EstimationCode0
A Spectral Framework for Tracking Communities in Evolving NetworksCode0
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality ConstraintsCode0
MixEst: An Estimation Toolbox for Mixture ModelsCode0
A Riemannian ADMMCode0
Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometryCode0
Accelerated Inference in Markov Random Fields via Smooth Riemannian OptimizationCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Geometric Mean Metric LearningCode0
Accurate and fast matrix factorization for low-rank learningCode0
Causal Abstraction Learning based on the Semantic Embedding PrincipleCode0
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