Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
–Neural Information Processing Systems
Many important distributions are high dimensional, and often they can be modeled as Gaussian mixtures. We derive the first sample-efficient polynomial-time estimator for high-dimensional spherical Gaussian mixtures.
Neural Information Processing Systems
Feb-9-2025, 19:00:49 GMT
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