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Vikrant Singhal
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A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
Not All Learnable Distribution Classes are Privately Learnable
Private Distribution Learning with Public Data: The View from Sample Compression
A Bias-Variance-Privacy Trilemma for Statistical Estimation
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Private Estimation with Public Data
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
Private Mean Estimation of Heavy-Tailed Distributions
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Privately Learning High-Dimensional Distributions
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