Sep 7, 2023 · We study the problem of estimating mixtures of Gaussians under the constraint of differential privacy (DP).
[PDF] Mixtures of Gaussians are Privately Learnable with a Polynomial ...
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Abstract. We study the problem of estimating mixtures of Gaussians under the constraint of differential pri- vacy (DP). Our main result is that poly(k, d, ...
Apr 23, 2024 · We study the problem of estimating mixtures of Gaussians under the constraint of differential privacy (DP). Our main result is that poly(k, ...
Sep 8, 2023 · We study the problem of estimating mixtures of Gaussians under the constraint of differential privacy (DP).
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples ... Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models.
Apr 24, 2024 · Mixtures of Gaussians are Privately Learnable with a Polynomial... We study the problem of estimating mixtures of Gaussians under the constraint ...
We study the problem of learning mixtures of Gaussians with approximate differential privacy. We prove that roughly k d 2 + k 1.5 d 1.75 + k 2 d samples ...
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Sep 8, 2023 · Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples. (arXiv:2309.03847v1 [https://t.co/zjV5HgYw5a]) ...
Nov 4, 2024 · Overview. This research paper presents a method for privately learning mixtures of Gaussians from data with a small number of samples.
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ... Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples.