Privately Learning Mixtures of Axis-Aligned Gaussians Hassan Ashtiani Department of Computing and Software Department of Computing and Software McMaster University

Neural Information Processing Systems 

We consider the problem of learning mixtures of Gaussians under the constraint of approximate differential privacy.

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