Semi-Cyclic Stochastic Gradient Descent.
Hubert EichnerTomer KorenH. Brendan McMahanNathan SrebroKunal TalwarPublished in: CoRR (2019)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- step size
- matrix factorization
- random forests
- online algorithms
- multiple kernel learning
- support vector machine
- weight vector
- regularization parameter
- importance sampling
- convergence speed
- learning rate
- machine learning
- benchmark datasets
- image restoration
- text categorization
- linear svm
- training set
- feature space