Search Results for author:
Found 2 papers, 1 papers with code
Differentially Private Synthetic Control
In this work, we provide the first algorithms for differentially private synthetic control with explicit error bounds.
Improved Differentially Private Regression via Gradient Boosting
We revisit the problem of differentially private squared error linear regression.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
