Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent.
Lukas PfahlerKatharina MorikPublished in: ECML/PKDD (2) (2018)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- step size
- matrix factorization
- learning algorithm
- online algorithms
- collaborative filtering
- random forests
- regularization parameter
- learning problems
- importance sampling
- multiple kernel learning
- kernel methods
- online learning
- support vector machine
- lower bound