Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption.
Wei MaGeorge H. ChenPublished in: NeurIPS (2019)
Keyphrases
- matrix completion
- missing data
- low rank
- missing values
- nuclear norm
- incomplete data
- low rank matrix approximation
- low rank matrices
- low rank matrix
- matrix factorization
- rank minimization
- norm minimization
- singular values
- kernel matrix
- linear combination
- minimization problems
- collaborative filtering
- low rank approximation
- rank aggregation
- knn
- least squares