Conditional Accelerated Lazy Stochastic Gradient Descent.
Guanghui LanSebastian PokuttaYi ZhouDaniel ZinkPublished in: ICML (2017)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- random forests
- weight vector
- multiple kernel learning
- online algorithms
- multiscale
- regularization parameter
- convergence speed
- support vector
- learning rate
- random forest
- machine learning algorithms
- linear combination
- support vector machine
- recommender systems