Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms.
Adrien TodeschiniFrançois CaronMarie ChaventPublished in: NIPS (2013)
Keyphrases
- matrix completion
- low rank
- rank minimization
- low rank matrix approximation
- minimization problems
- trace norm
- linear combination
- group lasso
- norm minimization
- matrix factorization
- missing data
- convex optimization
- low rank matrices
- low rank matrix
- singular value decomposition
- incomplete data
- low rank approximation
- semi supervised
- high dimensional data
- collaborative filtering
- kernel matrix
- rank aggregation
- high order
- nuclear norm
- singular values
- recommender systems
- nonnegative matrix factorization
- learning algorithm
- image restoration
- pairwise
- data analysis