6 citations · 7 across the 3 of their papers we have counts for
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cs.LG2021★ 1 cited
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali, Hassan Ashtiani, Christopher Liaw
We consider the problem of learning mixtures of Gaussians under the constraint of approximate differential privacy. We prove that $\widetilde{O}(k^2 d \log^{3/2}(1/δ) / α^2 \vareps…
cs.LG2019
On the Sample Complexity of Learning Sum-Product Networks
Ishaq Aden-Ali, Hassan Ashtiani
Sum-Product Networks (SPNs) can be regarded as a form of deep graphical models that compactly represent deeply factored and mixed distributions. An SPN is a rooted directed acyclic…