Fast Convergence for Langevin Diffusion with Matrix Manifold Structure.
Ankur MoitraAndrej RisteskiPublished in: CoRR (2020)
Keyphrases
- manifold structure
- low rank
- manifold learning
- sparse coding
- data points
- low dimensional
- semi supervised learning
- geometric structure
- graph laplacian
- linear combination
- convex optimization
- singular value decomposition
- spectral clustering
- dimensionality reduction
- missing data
- metric learning
- riemannian manifolds
- high order
- matrix factorization
- probabilistic latent semantic analysis
- probabilistic model
- high dimensional
- machine learning
- distance metric
- semi supervised