Low-rank matrix completion with noisy observations: A quantitative comparison.
Raghunandan H. KeshavanAndrea MontanariSewoong OhPublished in: Allerton (2009)
Keyphrases
- matrix completion
- low rank
- noisy observations
- missing data
- rank minimization
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- low rank matrix
- kernel matrix
- high dimensional data
- semi supervised
- singular values
- norm minimization
- high order
- trace norm
- low rank matrices
- collaborative filtering
- incomplete data
- missing values
- low rank approximation
- recommender systems
- nuclear norm
- high dimensional