Randomized Stochastic Gradient Descent Ascent.
Othmane SebbouhMarco CuturiGabriel PeyréPublished in: CoRR (2021)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- random forests
- support vector machine
- regularization parameter
- weight vector
- online algorithms
- multiple kernel learning
- convergence speed
- cost function
- multiresolution
- logistic regression
- convergence rate
- machine learning
- learning rate
- e learning