Semi-Cyclic Stochastic Gradient Descent.
Hubert EichnerTomer KorenBrendan McMahanNathan SrebroKunal TalwarPublished in: ICML (2019)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- random forests
- multiple kernel learning
- online algorithms
- regularization parameter
- support vector machine
- importance sampling
- weight vector
- decision trees
- cost function
- feature extraction
- convergence rate
- logistic regression
- data points
- support vector