Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption.
Wei MaGeorge H. ChenPublished in: CoRR (2019)
Keyphrases
- matrix completion
- missing data
- low rank
- missing values
- nuclear norm
- incomplete data
- low rank matrix approximation
- matrix factorization
- singular values
- low rank matrices
- norm minimization
- rank minimization
- low rank matrix
- collaborative filtering
- rank aggregation
- convex optimization
- minimization problems
- kernel matrix
- pairwise
- singular value decomposition
- active learning