The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models.
Danil AkhtiamovBabak HassibiPublished in: CoRR (2023)
Keyphrases
- linear models
- generalization error
- variable selection
- cross validation
- model selection
- active learning
- learning algorithm
- upper bound
- linear model
- training set
- training error
- linear regression
- training data
- linear classifiers
- supervised learning
- gaussian processes
- sample size
- hyperparameters
- machine learning
- human faces
- regression model
- probabilistic model
- support vector