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Hassan Ashtiani

Sample-Efficient Private Learning of Mixtures of Gaussians

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Nov 04, 2024
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Agnostic Private Density Estimation via Stable List Decoding

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Jul 05, 2024
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Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity

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Dec 09, 2023
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Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples

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Sep 07, 2023
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On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences

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May 28, 2023
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Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

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Mar 07, 2023
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Benefits of Additive Noise in Composing Classes with Bounded Capacity

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Jun 14, 2022
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Adversarially Robust Learning with Tolerance

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Mar 02, 2022
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Private and polynomial time algorithms for learning Gaussians and beyond

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Nov 22, 2021
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Privately Learning Mixtures of Axis-Aligned Gaussians

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Jun 03, 2021
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