Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling.
Qi MengWei ChenYue WangZhiming MaTie-Yan LiuPublished in: CoRR (2017)
Keyphrases
- convergence analysis
- stochastic gradient descent
- global convergence
- loss function
- least squares
- matrix factorization
- random forests
- step size
- optimality conditions
- convergence rate
- weight vector
- support vector machine
- feature space
- multiple kernel learning
- kernel function
- approximation methods
- online algorithms
- pairwise