Low-rank Optimal Transport: Approximation, Statistics and Debiasing.
Meyer ScetbonMarco CuturiPublished in: CoRR (2022)
Keyphrases
- low rank
- convex optimization
- low rank matrix
- matrix factorization
- matrix completion
- matrix decomposition
- linear combination
- rank minimization
- singular value decomposition
- missing data
- semi supervised
- low rank approximation
- kernel matrix
- high dimensional data
- robust principal component analysis
- trace norm
- closed form
- high order
- worst case
- approximation algorithms
- incomplete data
- principal component analysis
- pairwise
- optimal solution
- image processing
- low rank representation
- feature selection