Or Sheffet

Differentially Private Ordinary Least Squares: $t$-Values, Confidence Intervals and Rejecting Null-Hypotheses

2015 · arXiv (Cornell University)

Linear regression is one of the most prevalent techniques in data analysis. Given a large collection of samples composed of features $\vec x$ and a label $y$, linear regression is used to find the best …

Differentially Private Algorithms for Learning Mixtures of Separated\n Gaussians

2019 · arXiv (Cornell University)

Learning the parameters of Gaussian mixture models is a fundamental and\nwidely studied problem with numerous applications. In this work, we give new\nalgorithms for learning the parameters of a high-dimensional, well separated,\nGaussian mixture model subject to …