Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent.
Kun ZengJinlan LiuZhixia JiangDongpo XuPublished in: CoRR (2021)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- alternating least squares
- random forests
- cost function
- weight vector
- support vector machine
- regularization parameter
- multiple kernel learning
- evolutionary algorithm
- online algorithms
- objective function
- collaborative filtering
- importance sampling
- linear svm
- pairwise