Fast and accurate randomized algorithms for low-rank tensor decompositions.
Linjian MaEdgar SolomonikPublished in: NeurIPS (2021)
Keyphrases
- low rank
- randomized algorithms
- trace norm
- high order
- singular value decomposition
- frobenius norm
- matrix decomposition
- tensor decomposition
- matrix factorization
- convex optimization
- missing data
- rank minimization
- linear combination
- matrix completion
- low rank matrix
- high dimensional data
- lower bound
- singular values
- approximation algorithms
- semi supervised
- nonnegative matrix factorization
- higher order
- data matrix
- randomized algorithm
- data mining
- worst case
- tensor factorization
- least squares
- dynamic programming
- image processing