Accelerating Stochastic Gradient Descent.
Prateek JainSham M. KakadeRahul KidambiPraneeth NetrapalliAaron SidfordPublished in: CoRR (2017)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- random forests
- importance sampling
- online algorithms
- support vector machine
- regularization parameter
- weight vector
- monte carlo
- multiple kernel learning
- logistic regression
- evolutionary algorithm
- image processing
- prediction accuracy
- image restoration
- model selection
- linear svm
- support vector