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.
So as tanh is 1-Lipschitz, dg(x,x 0) = l ≥ |c1||t − t0|, ≥ re √ w√ 1 + r2 2 + 1− w w e2r2 − 1 2r2
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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.