Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes

Research article (Neural Information Processing Systems, 2018) · cited 33× · AI/ML
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Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes

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Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes. Retrieved May 24, 2026, from https://4ort.xyz/entity/nearly-tight-sample-complexity-bounds-for-learning-mixtures-of-gaussians-via-sample-compression-schemes
MLA “Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nearly-tight-sample-complexity-bounds-for-learning-mixtures-of-gaussians-via-sample-compression-schemes.
BibTeX @misc{4ortxyz_nearly-tight-sample-complexity-bounds-for-learning-mixtures-of-gaussians-via-sample-compression-schemes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes}}, year = {2026}, url = {https://4ort.xyz/entity/nearly-tight-sample-complexity-bounds-for-learning-mixtures-of-gaussians-via-sample-compression-schemes}, note = {Accessed: 2026-05-24}}
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