Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms.
Janis KeuperFranz-Josef PfreundtPublished in: MLHPC@SC (2015)
Keyphrases
- machine learning algorithms
- stochastic gradient descent
- scalable distributed
- random forests
- benchmark data sets
- machine learning
- least squares
- learning problems
- machine learning methods
- learning algorithm
- decision trees
- step size
- loss function
- matrix factorization
- learning tasks
- file system
- learning models
- multiple kernel learning
- support vector machine
- active learning
- regularization parameter
- online algorithms
- feature selection