Dropout as a Low-Rank Regularizer for Matrix Factorization.
Jacopo CavazzaPietro MorerioBenjamin D. HaeffeleConnor LaneVittorio MurinoRené VidalPublished in: CoRR (2017)
Keyphrases
- low rank
- matrix factorization
- collaborative filtering
- missing data
- semi supervised
- low rank matrix
- matrix completion
- recommender systems
- negative matrix factorization
- data matrix
- factorization methods
- multi task learning
- nonnegative matrix factorization
- total variation
- stochastic gradient descent
- singular values
- low rank matrices
- factorization method
- document clustering
- trace norm
- nearest neighbor
- low rank matrix factorization