Scaled stochastic gradient descent for low-rank matrix completion.
Bamdev MishraRodolphe SepulchrePublished in: CoRR (2016)
Keyphrases
- matrix completion
- stochastic gradient descent
- low rank
- matrix factorization
- least squares
- loss function
- rank minimization
- step size
- recommender systems
- collaborative filtering
- regularization parameter
- random forests
- online algorithms
- negative matrix factorization
- nonnegative matrix factorization
- missing data
- multiple kernel learning
- linear combination
- support vector machine
- weight vector
- kernel matrix
- low rank approximation
- singular values
- data sets
- convergence speed
- image restoration
- convex optimization
- learning algorithm