Better Private Linear Regression Through Better Private Feature Selection.
Travis DickJennifer GillenwaterMatthew JosephPublished in: NeurIPS (2023)
Keyphrases
- linear regression
- feature selection
- least squares
- privacy preserving
- regression problems
- regression methods
- linear models
- locally weighted
- ridge regression
- feature space
- feature set
- linear regression model
- naive bayes
- machine learning
- multi class
- nonlinear regression
- regression method
- multivariate regression
- training set
- kernel regression
- regression trees
- three dimensional
- feature selection algorithms
- support vector
- mutual information
- dimensionality reduction
- principal component analysis
- worst case