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20182025
most citedA Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions

2 citations · 3 across the 6 of their papers we have counts for

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cs.DS2024

Not All Learnable Distribution Classes are Privately Learnable

Mark Bun, Gautam Kamath, Argyris Mouzakis +1

We give an example of a class of distributions that is learnable up to constant error in total variation distance with a finite number of samples, but not learnable under $(\vareps…