Generalization Error for Linear Regression under Distributed Learning.
Martin HellkvistAyça ÖzçelikkaleAnders AhlénPublished in: CoRR (2020)
Keyphrases
- linear regression
- distributed learning
- generalization error
- cross validation
- upper bound
- model selection
- active learning
- least squares
- learning algorithm
- training data
- binary classification
- training set
- sample size
- sample complexity
- supervised learning
- training error
- ridge regression
- collaborative learning
- regression problems
- linear classifiers
- regression methods
- knowledge integration
- nonlinear regression
- risk minimization
- learning machines
- variable selection
- subspace information criterion
- machine learning
- boosting algorithms
- hyperparameters