Estimating α-Rank from A Few Entries with Low Rank Matrix Completion.
Yali DuXue YanXu ChenJun WangHaifeng ZhangPublished in: ICML (2021)
Keyphrases
- matrix completion
- low rank
- missing entries
- frobenius norm
- nuclear norm
- singular values
- missing data
- convex optimization
- rank aggregation
- rank minimization
- linear combination
- low rank matrix
- low rank approximation
- matrix factorization
- singular value decomposition
- low rank matrices
- high dimensional data
- semi supervised
- norm minimization
- high order
- minimization problems
- kernel matrix
- trace norm
- expectation maximization
- least squares
- data matrix
- convex relaxation
- machine learning
- missing values
- em algorithm
- nearest neighbor
- pattern recognition