Stochastic Gradient Descent with Biased but Consistent Gradient Estimators.
Jie ChenRonny LussPublished in: CoRR (2018)
Keyphrases
- stochastic gradient descent
- gradient estimators
- loss function
- matrix factorization
- least squares
- step size
- random forests
- multiple kernel learning
- support vector machine
- importance sampling
- regularization parameter
- logistic regression
- machine learning
- collaborative filtering
- small number
- decision trees
- image processing