Low-rank Optimal Transport: Approximation, Statistics and Debiasing.
Meyer ScetbonMarco CuturiPublished in: NeurIPS (2022)
Keyphrases
- low rank
- linear combination
- matrix factorization
- matrix decomposition
- missing data
- convex optimization
- low rank matrix
- rank minimization
- singular value decomposition
- matrix completion
- high order
- semi supervised
- closed form
- low rank approximation
- high dimensional data
- trace norm
- low rank matrices
- high dimensional
- kernel matrix
- non rigid structure from motion
- low rank representation
- neural network
- robust principal component analysis
- approximation methods
- data matrix
- singular values
- closed form solutions
- higher order
- nearest neighbor
- knn
- image segmentation
- image processing
- machine learning