Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation.
Gavin BrownKrishnamurthy DvijothamGeorgina EvansDaogao LiuAdam SmithAbhradeep ThakurtaPublished in: CoRR (2024)
Keyphrases
- linear regression
- error bounds
- least squares
- robust regression
- generalized linear models
- parzen window
- theoretical analysis
- regression problems
- ridge regression
- regression methods
- worst case
- nonlinear regression
- linear models
- regression method
- linear regression model
- computer vision
- kernel regression
- upper bound
- parameter estimation
- locally weighted
- training data
- regression model
- loss bounds