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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 31–40 of 153 papers

Title	Date	Tasks	Status	Hype	Score
Nonlinear matrix recovery using optimization on the Grassmann manifold	Sep 13, 2021	Riemannian optimizationSecond-order methods	CodeCode Available	0	5
Accurate and fast matrix factorization for low-rank learning	Apr 21, 2021	Matrix Factorization / DecompositionRiemannian optimization	CodeCode Available	0	5
Causal Abstraction Learning based on the Semantic Embedding Principle	Feb 1, 2025	Riemannian optimization	CodeCode Available	0	5
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints	Mar 29, 2023	Riemannian optimization	CodeCode Available	0	5
Geometric Mean Metric Learning	Jul 18, 2016	FormGeneral Classification	CodeCode Available	0	5
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding	Jan 11, 2024	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization	Jun 10, 2017	Density Estimationparameter estimation	CodeCode Available	0	5
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs	May 12, 2022	Computational Efficiencyimage-classification	CodeCode Available	0	5
Exponential Machines	May 12, 2016	Recommendation SystemsRiemannian optimization	CodeCode Available	0	5
Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometry	Oct 20, 2021	Riemannian optimization	CodeCode Available	0	5

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