Benign Underfitting of Stochastic Gradient Descent.
Tomer KorenRoi LivniYishay MansourUri ShermanPublished in: CoRR (2022)
Keyphrases
- stochastic gradient descent
- least squares
- matrix factorization
- loss function
- step size
- random forests
- support vector machine
- regularization parameter
- multiple kernel learning
- weight vector
- upper bound
- cost function
- image restoration
- machine learning algorithms
- decision trees
- random forest
- online algorithms
- recommender systems