Generalization Error of Generalized Linear Models in High Dimensions.
Melikasadat EmamiMojtaba Sahraee-ArdakanParthe PanditSundeep RanganAlyson K. FletcherPublished in: CoRR (2020)
Keyphrases
- high dimensions
- generalization error
- generalized linear models
- high dimensional
- regression model
- model selection
- logistic regression
- cross validation
- upper bound
- active learning
- high dimensional data
- learning algorithm
- training data
- training set
- linear regression
- high dimensional spaces
- supervised learning
- sample size
- dimensionality reduction
- nearest neighbor
- data points
- high dimensionality
- low dimensional
- poor quality
- support vector
- regression methods
- hyperparameters
- naive bayes
- learning problems
- learning tasks
- loss function
- data sets
- distance measure
- machine learning
- neural network