Extends BLASSO to multivariate GMMs with component-specific unknown diagonal covariances and derives non-asymptotic recovery guarantees under an explicit separation condition using Fisher-Rao geometry.
The minimal separation should verify ( s − 1) √ 2d(170
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Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization
Extends BLASSO to multivariate GMMs with component-specific unknown diagonal covariances and derives non-asymptotic recovery guarantees under an explicit separation condition using Fisher-Rao geometry.