Large-Scale Machine Learning with Stochastic Gradient Descent.
Léon BottouPublished in: COMPSTAT (2010)
Keyphrases
- stochastic gradient descent
- machine learning
- matrix factorization
- loss function
- support vector machine
- least squares
- random forests
- step size
- machine learning algorithms
- machine learning methods
- weight vector
- learning models
- decision trees
- semi supervised learning
- online algorithms
- active learning
- multiple kernel learning
- computer vision
- learning tasks
- convergence speed
- regularization parameter
- importance sampling
- learning algorithm
- online learning
- small number
- learning problems
- upper bound
- reinforcement learning