2022
Differentially Private Regression with Unbounded Covariates
AISTATS 2022poster
We provide computationally efficient, differentially private algorithms for the classical regression settings of Least Squares Fitting, Binary Regression and Linear Regression with unbounded covariates. Prior to our work, privacy constraints in such regression settings were studied under strong a pr…