Generalization Error of Generalized Linear Models in High Dimensions.
Melikasadat EmamiMojtaba Sahraee-ArdakanParthe PanditSundeep RanganAlyson K. FletcherPublished in: ICML (2020)
Keyphrases
- high dimensions
- generalization error
- generalized linear models
- high dimensional
- regression model
- model selection
- logistic regression
- cross validation
- high dimensional data
- active learning
- learning algorithm
- linear regression
- upper bound
- training data
- training set
- supervised learning
- high dimensional spaces
- sample size
- poor quality
- gaussian process
- low dimensional
- decision trees
- dimensionality reduction
- high dimensionality
- regression methods
- support vector
- data sets
- data points
- feature space
- pattern recognition
- feature selection
- text categorization
- euclidean distance
- least squares
- nearest neighbor
- semi supervised
- machine learning