An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion.
Rodrigo AlvesAntoine LedentRenato AssunçãoMarius KloftPublished in: Preregister@NeurIPS (2020)
Keyphrases
- matrix completion
- low rank
- linear combination
- rank minimization
- convex optimization
- missing data
- singular value decomposition
- matrix factorization
- low rank matrix approximation
- low rank matrix
- semi supervised
- kernel matrix
- norm minimization
- singular values
- high order
- trace norm
- minimization problems
- low rank matrices
- rank aggregation
- high dimensional data
- incomplete data
- denoising
- missing values
- nuclear norm
- pairwise