Fixed-rank matrix factorizations and Riemannian low-rank optimization.
Bamdev MishraGilles MeyerSilvère BonnabelRodolphe SepulchrePublished in: Comput. Stat. (2014)
Keyphrases
- matrix factorization
- low rank
- nuclear norm
- low rank matrix
- stochastic gradient descent
- collaborative filtering
- recommender systems
- missing data
- kernel matrix
- singular values
- matrix completion
- low rank approximation
- factorization methods
- negative matrix factorization
- rank minimization
- linear combination
- data matrix
- nonnegative matrix factorization
- convex optimization
- minimization problems
- trace norm
- data sets
- active learning
- higher order