Derivatives of Stochastic Gradient Descent.
Franck IutzelerEdouard PauwelsSamuel VaiterPublished in: CoRR (2024)
Keyphrases
- stochastic gradient descent
- matrix factorization
- loss function
- least squares
- step size
- higher order
- random forests
- support vector machine
- weight vector
- online algorithms
- multiple kernel learning
- regularization parameter
- collaborative filtering
- importance sampling
- learning problems
- convergence rate
- principal component analysis
- upper bound
- support vector