Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping.
Nicole MückeEnrico ReissPublished in: CoRR (2020)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- step size
- matrix factorization
- random forests
- cost function
- regularization parameter
- weight vector
- importance sampling
- multiple kernel learning
- support vector machine
- prior information
- collaborative filtering
- online algorithms
- particle filter
- logistic regression
- decision trees
- random forest
- pairwise