The Sobolev Regularization Effect of Stochastic Gradient Descent.
Chao MaLexing YingPublished in: CoRR (2021)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- regularization parameter
- random forests
- support vector machine
- early stopping
- multiple kernel learning
- weight vector
- collaborative filtering
- image restoration
- online algorithms
- support vector
- prior information
- random forest
- upper bound
- optical flow
- pairwise
- importance sampling
- feature space