Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation.
Clara MenzenManon KokKim BatselierPublished in: SIAM J. Sci. Comput. (2022)
Keyphrases
- bayesian framework
- low rank
- frobenius norm
- low rank matrix
- trace norm
- high order
- tensor decomposition
- matrix factorization
- missing data
- matrix completion
- generative model
- linear combination
- prior knowledge
- convex optimization
- hyperparameters
- approximation methods
- singular value decomposition
- gaussian process
- low rank approximation
- semi supervised
- kernel matrix
- rank minimization
- maximum a posteriori
- closed form
- high dimensional data
- higher order
- expectation maximization
- probability density function
- singular values
- data sets
- negative matrix factorization
- collaborative filtering
- active learning
- recommender systems
- pairwise
- high quality
- machine learning