Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression

Abstract

We introduce three differentially-private algorithms that approximates the 2nd-moment matrix of the data. These algorithm, which in contrast to existing algorithms output positive-definite matrices, correspond to existing techniques in linear regression literature. Specifically, we discuss the following three techniques. (i) For Ridge Regression, we propose… (More)

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Averaging 8 citations per year over the last 2 years.

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