Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms.
Janis KeuperFranz-Josef PfreundtPublished in: CoRR (2015)
Keyphrases
- machine learning algorithms
- stochastic gradient descent
- scalable distributed
- random forests
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- learning problems
- matrix factorization
- machine learning methods
- least squares
- learning tasks
- step size
- loss function
- learning models
- multiple kernel learning
- support vector machine
- logistic regression
- collaborative filtering
- lower bound
- regularization parameter
- weight vector
- particle swarm optimization