Towards Stability and Optimality in Stochastic Gradient Descent.
Panos ToulisDustin TranEdoardo M. AiroldiPublished in: AISTATS (2016)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- random forests
- weight vector
- regularization parameter
- online algorithms
- support vector machine
- importance sampling
- learning algorithm
- objective function
- machine learning
- logistic regression
- image sequences
- random forest
- optimal solution
- collaborative filtering
- np hard
- cost function
- support vector