Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers.
Sejun ParkUmut SimsekliMurat A. ErdogduPublished in: CoRR (2022)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- data dependent
- matrix factorization
- random forests
- generalization ability
- support vector machine
- vc dimension
- multiple kernel learning
- linear classifiers
- learning problems
- feature vectors
- decision trees
- linear combination
- model selection
- collaborative filtering
- wavelet transform
- training set