Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 126–150 of 153 papers

Title	Date	Tasks	Status	Hype
Learning Discriminative ab-Divergences for Positive Definite Matrices	Oct 1, 2017	Dictionary LearningMetric Learning	—Unverified	0
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives	Aug 30, 2017	Dimensionality ReductionRiemannian optimization	CodeCode Available	0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)	Aug 5, 2017	Dictionary LearningMetric Learning	—Unverified	0
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization	Jun 10, 2017	Density Estimationparameter estimation	CodeCode Available	0
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces	May 24, 2017	Action RecognitionRiemannian optimization	—Unverified	0
Poincaré Embeddings for Learning Hierarchical Representations	May 22, 2017	Graph EmbeddingRepresentation Learning	CodeCode Available	1
Riemannian Optimization for Skip-Gram Negative Sampling	Apr 26, 2017	Riemannian optimization	CodeCode Available	0
Generalized Rank Pooling for Activity Recognition	Apr 7, 2017	Action RecognitionActivity Recognition	—Unverified	0
A Manifold Approach to Learning Mutually Orthogonal Subspaces	Mar 8, 2017	Domain AdaptationRiemannian optimization	—Unverified	0
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport	Feb 18, 2017	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	0
Learning an Invariant Hilbert Space for Domain Adaptation	Nov 25, 2016	Domain AdaptationRiemannian optimization	—Unverified	0
Riemannian Tensor Completion with Side Information	Nov 12, 2016	Riemannian optimization	—Unverified	0
Geometric Mean Metric Learning	Jul 18, 2016	FormGeneral Classification	CodeCode Available	0
Low-rank tensor completion: a Riemannian manifold preconditioning approach	May 26, 2016	Riemannian optimization	—Unverified	0
Riemannian stochastic variance reduced gradient on Grassmann manifold	May 24, 2016	Low-Rank Matrix CompletionMatrix Completion	CodeCode Available	0
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds	May 23, 2016	Riemannian optimizationStochastic Optimization	—Unverified	0
Exponential Machines	May 12, 2016	Recommendation SystemsRiemannian optimization	CodeCode Available	0
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation	Mar 10, 2016	Riemannian optimization	CodeCode Available	0
Matrix Manifold Optimization for Gaussian Mixtures	Dec 1, 2015	Density Estimationparameter estimation	—Unverified	0
MixEst: An Estimation Toolbox for Mixture Models	Jul 22, 2015	ClusteringDensity Estimation	CodeCode Available	0
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices	Jul 10, 2015	BIG-bench Machine LearningDictionary Learning	—Unverified	0
Manifold Optimization for Gaussian Mixture Models	Jun 25, 2015	Density Estimationparameter estimation	—Unverified	0
Riemannian preconditioning for tensor completion	Jun 6, 2015	Riemannian optimization	—Unverified	0
Convergence results for projected line-search methods on varieties of low-rank matrices via Łojasiewicz inequality	Feb 21, 2014	Riemannian optimization	—Unverified	0
Geometric optimisation on positive definite matrices for elliptically contoured distributions	Dec 1, 2013	Riemannian optimization	—Unverified	0

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