Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula.
Yuxuan ZhaoMadeleine UdellPublished in: NeurIPS (2020)
Keyphrases
- matrix completion
- low rank
- missing data
- rank minimization
- linear combination
- singular value decomposition
- low rank matrix
- matrix factorization
- convex optimization
- semi supervised
- kernel matrix
- high dimensional data
- low rank matrices
- norm minimization
- high order
- nuclear norm
- singular values
- maximum likelihood
- trace norm
- rank aggregation
- affinity matrix
- globally optimal
- natural images
- convex relaxation
- minimization problems
- image classification
- least squares
- active learning