Stochastic Gradient Descent for Additive Nonparametric Regression.
Xin ChenJason M. KlusowskiPublished in: CoRR (2024)
Keyphrases
- stochastic gradient descent
- nonparametric regression
- least squares
- loss function
- matrix factorization
- step size
- pointwise
- random forests
- regularization parameter
- online algorithms
- multiple kernel learning
- support vector machine
- weight vector
- importance sampling
- convergence speed
- support vector
- monte carlo
- online learning