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