Efficient PTR replaces exact insensitive sets and Hellinger distances with simpler subsets and Lipschitz lower bounds to achieve minimax-optimal accuracy for DP Bayes classification, linear regression, and nonparametric regression.
Differentially private naive bayes clas- sifier using smooth sensitivity
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Efficient Proposal-Test-Release for Minimax Optimal Estimation
Efficient PTR replaces exact insensitive sets and Hellinger distances with simpler subsets and Lipschitz lower bounds to achieve minimax-optimal accuracy for DP Bayes classification, linear regression, and nonparametric regression.